The present disclosure provides computer-implemented methods, systems, and devices for mitigating noise in a signal. A user computing device comprises physiological signal sensor configured to generate a first signal relating one or more characteristics associated with a user. The user computing device further comprises a transducer configured to generate a noise signature signal based on detection of one or more noise sources. The user computing device further comprises one or more control circuits configured to modify the first signal based on the noise signature signal to generate a modified first signal. The control circuits are further configured to determine one or more characteristics associated with a user based on the modified first signal.
A wearable computing device includes a housing having a wrist-side face configured to sit against a wrist of a user of the wearable computing device when being worn by the user, an electronic display arranged within the housing, a plurality of biometric sensor electrodes positioned on the wrist-side face so as to maintain skin contact with the user when being worn on the wrist by the user, and at least one driver communicatively coupled to the plurality of biometric sensor electrodes. Each of the plurality of biometric sensor electrodes continuously measures, at least, one or more parameters indicative of electrical impedance of the user at a location of the skin contact. Further, the wearing computing device includes at least one controller(s) communicatively coupled to the plurality of biometric sensor electrodes and the driver and is configured to determine skin conductance, changes to the skin conductance, a skin conductance level, SCL, and/or skin conductance responses, SCRs, of the user over a certain time period using the electrical impedance of the user.
Approaches described herein can capture an audio signal using at least one microphone while a user of an electronic device is determined to be asleep. At least one audio frame can be determined from the audio signal. The at least one audio frame represents a spectrum of frequencies detected by the at least one microphone over some period of time. One or more sounds associated with the at least one audio frame can be determined. Sleep-related information can be generated. The information identifies the one or more sounds as potential sources of sleep disruption.
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G10L 25/51 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination
A61B 5/08 - Measuring devices for evaluating the respiratory organs
4.
Methods and Systems for Metrics Analysis and Interactive Rendering, Including Events Having Combined Activity and Location Information
A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G01C 22/00 - Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers or using pedometers
H04W 4/029 - Location-based management or tracking services
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/22 - Ergometry; Measuring muscular strength or the force of a muscular blow
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
Various embodiments provide a wellness tracking device with a base plate that may be utilized as a combination electrode by a variety of sensors. The base plate may be a multi-material electrode that includes a conductor and a transparent or semi-transparent material to enable optical sensing. In certain embodiments, the base plate supports a plurality of different sensors, which may selectively utilize the base plate as an electrode.
Physiological variables, metrics, biomarkers, and other data points can be used, in connection with a non-invasive wearable device, to screen for, and predict, mental health issues and cognitive states. In addition to metrics such as heart rate, sleep data, activity level, gamification data, and the like, information such as text message and email data, as well as vocal data obtained through a phone and/or a microphone, may be analyzed, provided user authorization. Applying predictive modeling, one or more of the monitored metrics can be correlated with mental states and disorders. Identified patterns can be used to update the predictive models, such as via machine learning-trained models, as well as to update individual event predictions. Information about the mental state predictions, and updates thereto, can be surfaced to the user accordingly.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
The accuracy of physiological data measured through contact with skin can be validated by characterizing the forces at the surfaces where data is measured. Conventional devices do not monitor the fit of skin-based sensors, making the accuracy and confidence in physiological data dependent on the user ensuring that the device is fitted properly. Over time, the seating of a device will vary due to changes in user activity and the need to periodically remove a device. Inevitably, instances will arise where the device is not fitted correctly, which may result in skewed physiological metrics. By monitoring the forces acting on the housing of a device, the interface of skin sensors can be characterized allowing for confidence metrics in the corresponding physiological data to be determined. In some cases, a user can be notified when a device is not seated properly, and in some cases, data may even be calibrated based on the fit of a device.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
Disclosed are devices and methods for estimating blood pressure, which implement a pulse-transit-time-based blood pressure model that can be calibrated. Some implementations provide reliable and user friendly means for calibrating the blood pressure model using blood pressure perturbation methods and multiple sensors.
Disclosed are devices and methods for non-invasively measuring arterial stiffness using pulse wave analysis of photoplethysmogram data. In some implementations, wearable biometric monitoring devices provided herein for measuring arterial stiffness have the ability to automatically and intelligently obtain PPG data under suitable conditions while the user is engaged in activities or exercises. In some implementations, wearable biometric monitoring devices are provided herein with the ability to remove PPG data variance caused by factors unrelated to arterial stiffness. In some implementations, wearable biometric monitoring devices have the ability to perform PWA while accounting for the user’s activities, conditions, or status.
A61B 5/021 - Measuring pressure in heart or blood vessels
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/02 - Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.
The accuracy of physiological data measured through contact with skin can be validated by characterizing the forces at the surfaces where data is measured. Conventional devices do not monitor the fit of skin-based sensors, making the accuracy and confidence in physiological data dependent on the user ensuring that the device is fitted properly. Over time, the seating of a device will vary due to changes in user activity and the need to periodically remove a device. Inevitably, instances will arise where the device is not fitted correctly, which may result in skewed physiological metrics. By monitoring the forces acting on the housing of a device, the interface of skin sensors can be characterized allowing for confidence metrics in the corresponding physiological data to be determined. In some cases, a user can be notified when a device is not seated properly, and in some cases, data may even be calibrated based on the fit of a device.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
In one embodiment, a method for generating a message to a friend of a user is provided, comprising: processing activity data of a first user measured by an activity monitoring device to update a value of an activity metric for the first user; identifying a change in an inequality relationship between the value of the activity metric for the first user and a value of the activity metric for a second user; in response to identifying the change in the inequality relationship, prompting the first user to generate a message to the second user.
G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
G08B 3/10 - Audible signalling systems; Audible personal calling systems using electromagnetic transmission
G08B 5/36 - Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electromagnetic transmission using visible light sources
G08B 6/00 - Tactile signalling systems, e.g. personal calling systems
H04L 51/00 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
A61B 5/22 - Ergometry; Measuring muscular strength or the force of a muscular blow
G06F 16/2457 - Query processing with adaptation to user needs
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G01C 22/00 - Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers or using pedometers
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
H04M 1/724 - User interfaces specially adapted for cordless or mobile telephones
H04L 51/52 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
Temperature data acquired from a wearable device, for example at a user's wrist or within the device itself, can be used as a proxy to evaluate core body temperature changes. Sensor data may be provided to determine a skin temperature of a user and also an internal device temperature. A correlation between these two temperatures may be used to monitor subsequent temperature changes, which may be indicative of changes in the user's core body temperature. Temperature changes to the proxy temperature may be evaluated against a threshold to determine whether the user's core body temperature has also increased, which may be indicative of one or more physiological symptoms or events. Furthermore, additional physiological variables such as respiration rate, nocturnal heart rate, and heart rate variability may be analyzed for early signs of impending illness. A trained machine learning classifier can output the predicted illness status of an individual based on these parameters.
A wellness tracking device includes a plurality of electrodes to receive biometric data from a user. The electrodes may receive an input from the user and transmit information, such as electrical data related to the heart or skin conductance, in order to measurement one or more physical properties. The electrodes may be arranged within the form factor provided by the wellness tracking device and also electrically isolated to provide independent data acquisition for the electrodes. Arrangement of the electrodes may be particularly selected to provide an ergonomic arrangement to enable the user to comfortably provide input data.
An aspect of the disclosure pertains to a blood pressure measurement device and methods of controlling an inflation rate in a blood pressure measurement. An inflatable bladder of the blood pressure measurement device defines, at least in part, a pressurizable volume. The inflatable bladder may be inflated to pressurize a user's appendage and temporarily occlude blood flow in the user's appendage. A pressure sensor of the blood pressure measurement device is configured to obtain blood pressure measurements, and a pump of the blood pressure measurement device is configured to inflate the inflatable bladder and control an inflation rate by controlling at least one of a duty cycle, a voltage, or a drive frequency.
Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
H04L 12/18 - Arrangements for providing special services to substations for broadcast or conference
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G01C 22/00 - Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers or using pedometers
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
H04W 4/00 - Services specially adapted for wireless communication networks; Facilities therefor
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
H04L 67/1095 - Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
H04M 1/724 - User interfaces specially adapted for cordless or mobile telephones
H04M 1/72451 - User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to schedules, e.g. using calendar applications
H04M 1/72454 - User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
H04L 51/52 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
G06F 15/00 - Digital computers in general; Data processing equipment in general
G06F 3/041 - Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
G08B 3/10 - Audible signalling systems; Audible personal calling systems using electromagnetic transmission
G08B 5/36 - Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electromagnetic transmission using visible light sources
G08B 6/00 - Tactile signalling systems, e.g. personal calling systems
H04L 65/403 - Arrangements for multi-party communication, e.g. for conferences
A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
Multiple circuits in a computing device can share one or more conductive elements. The use of the conductive element can vary by circuit, such as an antenna radiator for a radio frequency (RF) circuit or an electrode for an electrocardiography (ECG) circuit. The circuitry sharing a conductive element can utilize signals obtained over different frequency ranges. Those ranges can be used to select decoupling circuitry, or elements, that can enable the respective circuits to obtain signals over a respective frequency range, excluding signals over one or more other frequency ranges corresponding to other circuitry sharing the circuit. Such an approach allows for concurrent independent operation of the circuitry sharing a conductive element.
Various embodiments provide a wellness tracking device with a base plate that may be utilized as a combination electrode by a variety of sensors. The base plate may be a multi-material electrode that includes a conductor and a transparent or semi-transparent material to enable optical sensing. In certain embodiments, the base plate supports a plurality of different sensors, which may selectively utilize the base plate as an electrode.
The present inventions, in one aspect, are directed to systems and circuitry for and/or methods of establishing communication having one or more pairing facilitator-intermediary devices (for example, a network connected server) to enable or facilitate pairing and/or registering at least two devices (e.g., (i) a portable biometric monitoring device and (ii) a smartphone, laptop and/or tablet) to, for example, recognize, interact and/or enable interoperability between such devices. The pairing facilitator-intermediary device may responsively communicates information to one or more of the devices (to be paired or registered) which, in response, enable or facilitate such devices to pair or register. The present inventions may be advantageous where one or both of the devices to be paired or registered is/are not configured (e.g., include a user interface or certain communication circuitry that is configured or includes functionality) to pair devices without use of a facilitator-intermediary device.
Various types of data can be collected regarding the physical or mental health of a user, as may relate to sleep of the user over a period of time. Health metrics can be determined from this data that can enable the user to be associated with a particular health type or category. For sleep, this can include associating the user with a sleep animal that has specific characteristics. This can help a user to better understand that user's sleep, and how that sleep compares to sleep of others. In addition to being able to provide health information in a way that is easy to understand, such an approach can also help to make more accurate recommendations or take specific actions to help improve the health of a user, such as to improve sleep. This can include making recommendations to a user or automatically adjusting operation of at least one device.
Devices communicating wirelessly may experience temporary disconnections. While disconnected, a device may be unable to notify the other device that an update has occurred and that data previously used for communication may no longer be current. An ephemeral characteristic can be used by a service device that is updated each time a change occurs on the service device that may impact communications. A client device can use cached service data to attempt to write to this ephemeral characteristic. If the write does not complete successfully, it can be determined that the cached data is no longer current and a service request change can be used to cause the client device to flush the cached data and request current data from the service device.
H04L 67/51 - Discovery or management thereof, e.g. service location protocol [SLP] or web services
H04L 67/568 - Storing data temporarily at an intermediate stage, e.g. caching
H04W 76/11 - Allocation or use of connection identifiers
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
In one aspect of the disclosed implementations, a device includes one or more motion sensors for sensing motion of the device and providing activity data indicative of the sensed motion. The device also includes one or more processors for monitoring the activity data, and receiving or generating annotation data for annotating the activity data with one or more markers or indicators to define one or more characteristics of an activity session. The device also includes one or more feedback devices for providing feedback, a notice, or an indication to a user based on the monitoring. The device further includes a portable housing that encloses at least portions of the motion sensors, the processors and the feedback devices.
G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
G06F 16/22 - Indexing; Data structures therefor; Storage structures
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
G08C 17/02 - Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
G08B 21/02 - Alarms for ensuring the safety of persons
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G08B 5/22 - Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electromagnetic transmission
G08B 6/00 - Tactile signalling systems, e.g. personal calling systems
G08B 25/10 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
Low-profile latching mechanisms and related mechanical interfaces for allowing straps and other fastening accessories for limb-wearable devices are provided. The mechanisms in question allow for a very strong, yet easily releasable, connection to be made between a strap accessory and a device housing, with very little of the mechanism being visible.
A44C 5/14 - Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps characterised by the way of fastening to a wrist-watch or the like
A44C 5/00 - Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps
29.
WEARABLE COMPUTING DEVICE HAVING A MULTI-BAND SLOT ANTENNA AND A GROUNDED PARASITIC ELEMENT
A wearable computing device is provided. The wearable computing device includes a printed circuit board and a conductive housing. The wearable computing device further includes a slot antenna defined by a gap between the printed circuit board and the conductive housing. The slot antenna is operable at a plurality of different frequency bands. The plurality of different frequency bands include one or more global position system frequency bands. The wearable computing device includes a parasitic element. The parasitic element is electrically grounded to the printed circuit board at a plurality of different locations.
The present disclosure provides computer-implemented methods, systems, and devices for controlling an external shared clock in a computing system with a plurality of system on a chips (SoCs). To do so, while a first SoC is in a low power mode, the second SoC receives a wake-up input that causes the second SoC to exit a low power mode. The second SoC asserts a clock request signal line to activate an external shared clock. The clock control system determines a state associated with the external shared clock, wherein the external shared clock is external to the first SoC. The clock control system, in accordance with a determination that the external shared clock is in an off state, transmits a signal to the external shared clock to cause the external shared clock to enter a startup state and begin producing a shared clock signal.
An aspect of the disclosure pertains to a wrist-worn device that may be characterized by the following features: an external surface that is not in contact with the user when the wrist-worn device is worn; a force sensor; a PPG sensor disposed on the wrist-worn device; and control logic configured to: (i) generate one or more sensor data samples, each sensor data sample including data that links force data generated by the force sensor when a user presses a against the external surface at a given time with heart rate data obtained from the PPG sensor at the given time; and (ii) calculate an estimate of blood pressure from the one or more sensor data samples. As examples, the force sensor may be a force sensitive touch screen or film, a strain gauge integrating into the device, or a calibrated spring element configured to be pressed by the user.
A61B 5/0295 - Measuring blood flow using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
A61B 5/022 - Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthaldynamometers
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
The present disclosure provides computer-implemented methods, systems, and devices for estimation of a user's blue light exposure using the camera of a user computing device. A user computing device captures, using an ambient light sensor, information associated with a light environment of a user computing device. The user computing device determines a target exposure time. The user computing device captures, using a camera, image data by exposing a sensor of the camera to light for a time based on the target exposure time. The user computing device calculates white balance values for the captured image data using an automatic white balance algorithm. The user computing device discards the captured image data. The user computing device generates, based on the automatic white balance values, a blue light exposure value.
G01J 1/42 - Photometry, e.g. photographic exposure meter using electric radiation detectors
G09G 5/02 - Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators characterised by the way in which colour is displayed
A wearable device for tracking swim activities of a user is provided. The wearable device may include one or more sensors configured to generate sensor data, and based on the sensor data, the wearable device may determine swim metrics such as swim stroke count, swim stroke type, swim lap count, and swim speed. The determined swim metrics may be filtered based on one or more swim periods during which the user is likely to have been swimming. The wearable device may determine such swim periods based on the sensor data and/or the determined swim metrics.
A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
G01C 5/06 - Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels by using barometric means
G01P 15/18 - Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration in two or more dimensions
A63B 71/06 - Indicating or scoring devices for games or players
G01C 22/00 - Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers or using pedometers
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G09B 19/00 - Teaching not covered by other main groups of this subclass
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
An aspect of the disclosure pertains to detecting a position of a blood pressure measurement device. An inflatable bladder of the blood pressure measurement device defines, at least in part, a pressurizable volume. The inflatable bladder may be inflated to pressurize a user's appendage and temporarily occlude blood flow in the user's appendage. A pump may initiate inflation of the inflatable bladder when one or more accelerometers and/or one or more proximity sensors determine that the blood pressure measurement device is within sufficient proximity or elevation to a user's heart and stationary.
A fitness fatigue score for a user for a current day is provided. The fitness fatigue score can be determined based, at least in part, on first data obtained over a first period of time, second data obtained over a second period of time that is shorter in duration than the first period of time, and third data obtained over a third period of time that is longer in duration than the first period of time. The first data includes heart rate measurements for the user over the first period of time. The second data includes one or more sleep metrics for a plurality of sleep events for the user over the second period of time. The third data includes heart rate variability for the user over the third period of time. Additionally, a recommendation regarding exercise for the current day can be generated based on the fitness fatigue score.
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
In one embodiment, a method for creating a blood oxygen saturation (SpO2) value, the method comprises receiving one or more photoplethysmography (PPG) signals for SpO2 detection from one or more PPG sensors; receiving one or more PPG signals for characterizing a heart rate from the one or more PPG sensors; using the one or more PPG signals for SpO2 detection, forming one or more SpO2 datasets wherein the SpO2 datasets respectively comprise one or more noise components; removing the one or more noise components from the one or more SpO2 datasets that are inconsistent with a feature of the one or more PPG signals characterizing the heart rate to produce one or more filtered SpO2 datasets; and using the one or more filtered SpO2 datasets, creating and storing the SpO2.
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
39.
Methods, systems, and devices for improved skin temperature monitoring
The present disclosure provides computer-implemented methods, systems, and devices for improved skin temperature monitoring. Accurate estimates of skin and ambient temperature are generated based on determinations and comparisons of skin and internal device temperature sensor measurements contained on or within example devices. The estimates of skin and ambient temperature measurements facilitate monitoring skin and core temperature changes, detecting physiological events of a wearer of example devices, and determining when skin temperature changes are environmentally or physiologically induced.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G01K 13/20 - Clinical contact thermometers for use with humans or animals
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A system, computer-readable storage medium, and a method capable of, directly or indirectly, estimating sleep states of a user based on sensor data from movement sensors and/or optical sensors.
Methods, systems and devices are provided for displaying monitored activity data in substantial real-time on a screen of a computing device. One example method includes capturing motion data associated with activity of a user via an activity tracking device. The motion data is quantified into a plurality of metrics associated with the activity of the user. The method includes connecting the activity tracking device with a computing device over a wireless data connection, and sending motion data from the activity tracking device to the computing device for display of one or more of the plurality of metrics on a graphical user interface of the computing device. At least one of the plurality of metrics displayed on the graphical user interface is shown to change in substantial real-time based on the motion data.
G01C 22/00 - Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers or using pedometers
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/22 - Ergometry; Measuring muscular strength or the force of a muscular blow
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
Approaches described herein can determine one or more breathing phase patterns over a period of time using audio data captured by at least one microphone. The audio data can include one or more snores. A breathing phase pattern included within the period of time can be determined based at least in part on sensor data captured by one or more sensors in the electronic device. A determination can be made that a first breathing phase pattern represented by the audio data and a second breathing phase pattern represented by the sensor data are correlated. A determination can be made that the first breathing phase pattern represented by the audio data and the second breathing phase pattern represented by the sensor data both correspond to a user wearing the electronic device.
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
G10L 25/51 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination
Various types of data can be collected regarding the physical or mental health of a user, as may relate to sleep of the user over a period of time. Health metrics can be determined from this data that can enable the user to be associated with a particular health type or category. For sleep, this can include associating the user with a sleep animal that has specific characteristics. This can help a user to better understand that user's sleep, and how that sleep compares to sleep of others. In addition to being able to provide health information in a way that is easy to understand, such an approach can also help to make more accurate recommendations or take specific actions to help improve the health of a user, such as to improve sleep. This can include making recommendations to a user or automatically adjusting operation of at least one device.
Assessing the sleep quality of a user in association with an electronic device with one or more physiological sensors includes detecting an attempt by the user to fall asleep, and collecting physiological information associated with the user. The disclosed method of assessing sleep quality may include determining respective values for one or more sleep quality metrics, including a first set of sleep quality metrics associated with sleep quality of a plurality of users, and a second set of sleep quality metrics associated with historical sleep quality of the user, based at least in part on the collected physiological information and at least one wakeful resting heart rate of the user, and determining a unified score for sleep quality of the user, based at least in part on the respective values of the one or more sleep quality metrics.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/02 - Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/24 - Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
In one embodiment, a method for generating a message to a friend of a user is provided, comprising: processing activity data of a first user measured by an activity monitoring device to update a value of an activity metric for the first user; identifying a change in an inequality relationship between the value of the activity metric for the first user and a value of the activity metric for a second user; in response to identifying the change in the inequality relationship, prompting the first user to generate a message to the second user.
G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
G08B 3/10 - Audible signalling systems; Audible personal calling systems using electromagnetic transmission
G08B 5/36 - Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electromagnetic transmission using visible light sources
G08B 6/00 - Tactile signalling systems, e.g. personal calling systems
H04L 51/00 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
A61B 5/22 - Ergometry; Measuring muscular strength or the force of a muscular blow
G06F 16/2457 - Query processing with adaptation to user needs
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G01C 22/00 - Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers or using pedometers
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
H04M 1/724 - User interfaces specially adapted for cordless or mobile telephones
H04L 51/52 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
50.
Intelligent Inflatable Cuff for Arm-Based Blood Pressure Measurement
This disclosure provides devices and methods for estimating blood pressure using intelligent oscillometric blood pressure measurement techniques, where some implementations of the devices include multiple biometric sensors and/or can obtain sensor data from a connected device. In some implementations, the devices automatically determine an identity of a user. In some implementations, the devices automatically provide instructions to users to take blood pressure measurements. In some implementations, the devices applied intelligent inflation techniques to improve user comfort and speed up measurements.
A61B 5/1172 - Identification of persons based on the shapes or appearances of their bodies or parts thereof using fingerprinting
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
Selecting and presenting messages to user of an activity/health monitoring platform. The health/activity monitoring platform may receive physiological data for a user. The health/activity monitoring platform may identify a set of messages based on the physiological data. The health/activity monitoring platform may also determine a set of scores for the set of messages. Each score from the set of scores may be associated with a message from the set of messages and each score from the set of scores may be indicative of whether a respective message should be presented to the user. The health/activity monitoring platform may also identify a first message from a set of messages based on the set of scores and cause the first message to be presented via a display of a computing device of the user. The health/activity monitoring platform may also update a first set of penalties associated with the first message in response to causing the first message to be presented. The first set of penalties decreases a first likelihood that the first message will be presented to the user again
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
Various antenna designs are presented that can be used to provide for wireless communication in electronic devices, such as wearable electronic devices. Various embodiments provide antenna structures and designs that can support multiple frequency bands in a relatively compact space. Various embodiments utilize a ring antenna forming a portion of an outer perimeter of the housing, the ring antenna including a plurality of connections coupled the PCB, the plurality of connections. The plurality of connections include at least one feed connection coupled to at least one signal source on the PCB, respectively, and at least one ground connection coupled to a ground point on the PCB. In some embodiments, the connections may be inductively or capacitively loaded. The ring antenna may include a single feed connection or multiple feed connections respectively coupled to different signal sources.
H01Q 1/27 - Adaptation for use in or on movable bodies
H01Q 1/24 - Supports; Mounting means by structural association with other equipment or articles with receiving set
H01Q 9/42 - Resonant antennas with feed to end of elongated active element, e.g. unipole with folded element, the folded parts being spaced apart a small fraction of the operating wavelength
H01Q 1/38 - Structural form of radiating elements, e.g. cone, spiral, umbrella formed by a conductive layer on an insulating support
Systems and methods for determining a sedentary state of a user are described. Sensor data is collected and analyzed to calculate metabolic equivalent of task (MET) measures for a plurality of moments of interest. Based on the MET measures and a time period for which the MET measures exceed a threshold value, it is determined whether the user is in a sedentary state. If the user is in the sedentary state, the user is provided a notification to encourage the user to perform a non-sedentary activity.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
Arousal events can be determined for a user associated with a wearable device, such as a user wearing a wearable computing device including one or more sensors. The one or more sensors may obtain EDA information that may determine a sympathetic nervous system response of the user, which may be responsive to an arousal event or an activation. Detection of events that increase the EDA response may provide information to the user regarding arousal events and provide recommendations to the user to address the arousal events to decrease their response.
Temperature data acquired from a wearable device, for example at a user's wrist or within the device itself, can be used as a proxy to evaluate core body temperature changes. Sensor data may be provided to determine a skin temperature of a user and also an internal device temperature. A correlation between these two temperatures may be used to monitor subsequent temperature changes, which may be indicative of changes in the user's core body temperature. Temperature changes to the proxy temperature may be evaluated against a threshold to determine whether the user's core body temperature has also increased, which may be indicative of one or more physiological symptoms or events. Furthermore, additional physiological variables such as respiration rate, nocturnal heart rate, and heart rate variability may be analyzed for early signs of impending illness. A trained machine learning classifier can output the predicted illness status of an individual based on these parameters.
Stress information can be determined for a user associated with a wearable device, such as a user wearing a wearable computing device including one or more sensors. At least some of this sensor data can be combined with relevant data provided by a user to calculate a stress score, such as may correspond to a current stress level or stress resilience level of that user. Changes in this stress score can be monitored over time, and appropriate actions taken, such as to provide information or recommendations to the user, or to modify operation of the wearable computing device.
A wellness tracking device includes a plurality of electrodes to receive biometric data from a user. The electrodes may receive an input from the user and transmit information, such as electrical data related to the heart or skin conductance, in order to measurement one or more physical properties. The electrodes may be arranged within the form factor provided by the wellness tracking device and also electrically isolated to provide independent data acquisition for the electrodes. Arrangement of the electrodes may be particularly selected to provide an ergonomic arrangement to enable the user to comfortably provide input data.
Some embodiments provide a wearable monitoring device including a motion sensor and a photo (PPG) sensor. The PPG sensor includes (i) a periodic light source, (ii) a photo detector, and (iii) circuitry determining a user's heart rate from an output of the photo detector. Some embodiments provide methods for operating a heart rate monitor of a wearable monitoring device to measure one or more characteristics of a heartbeat waveform. Some embodiments provide methods for operating the wearable monitoring device in a low power state when the device determines that the device is not worn by a user.
Physiological variables, metrics, biomarkers, and other data points can be used, in connection with a non-invasive wearable device, to screen for, and predict, mental health issues and cognitive states. In addition to metrics such as heart rate, sleep data, activity level, gamification data, and the like, information such as text message and email data, as well as vocal data obtained through a phone and/or a microphone, may be analyzed, provided user authorization. Applying predictive modeling, one or more of the monitored metrics can be correlated with mental states and disorders. Identified patterns can be used to update the predictive models, such as via machine learning-trained models, as well as to update individual event predictions. Information about the mental state predictions, and updates thereto, can be surfaced to the user accordingly.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
Disclosed are devices and methods for non-invasively measuring arterial stiffness using pulse wave analysis of photoplethysmogram data. In some implementations, wearable biometric monitoring devices provided herein for measuring arterial stiffness have the ability to automatically and intelligently obtain PPG data under suitable conditions while the user is engaged in activities or exercises. In some implementations, wearable biometric monitoring devices are provided herein with the ability to remove PPG data variance caused by factors unrelated to arterial stiffness. In some implementations, wearable biometric monitoring devices have the ability to perform PWA while accounting for the user's activities, conditions, or status.
A61B 5/02 - Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
Values of fields for a packet header can be analyzed to determine whether those values match default or expected values for those fields. If so, those values can be excluded or removed from the packet header. Flags are set to indicate whether or not a value is included for a given field, and if not then the default value should be used for that field. This compression helps to reduce the packet size, or at least allow for larger payloads within a minimum packet size. Approaches also provide for bi-directional communication capability, including the ability to initiate sessions from different devices, as well as to discovering other devices available for communication. Compression can also be used with address mapping to allow for address translation at the packet level, enabling multiple devices to communicate over a wireless channel that otherwise does not allow for concurrent communication sessions.
H04L 29/06 - Communication control; Communication processing characterised by a protocol
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
Systems, devices, and methods for tracking one or more physiological metrics (e.g., heart rate, blood oxygen saturation, and the like) of a user are described. For example, one or more light sources and one or more light detectors may be positioned on a wearable device such that light can be emitted towards the user's skin and further such that light reflected back to the wearable device can be measured and used to generate values for the one or more physiological metrics.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
This invention provides devices, systems, and methods for performing point-of-care, analysis, including multiplexed analysis, of a biological fluid analyte, such as blood. The invention includes a cartridge for collecting the biological fluid analyte. The cartridge is configured to be inserted into an assay reader, in which one or more assay reactions may be performed. The assay reader is designed to read and report the results of the one or more assay reactions.
Systems, devices, and methods for tracking one or more physiological metrics (e.g., heart rate, blood oxygen saturation, and the like) of a user are described. For example, one or more light sources and one or more light detectors may be positioned on a wearable device such that light can be emitted towards the user's skin and further such that light reflected back to the wearable device can be measured and used to generate values for the one or more physiological metrics.
Low-profile latching mechanisms and related mechanical interfaces for allowing straps and other fastening accessories for limb-wearable devices are provided. The mechanisms in question allow for a very strong, yet easily releasable, connection to be made between a strap accessory and a device housing, with very little of the mechanism being visible.
A44C 5/14 - Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps characterised by the way of fastening to a wrist-watch or the like
A44C 5/00 - Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps
67.
Ambient light determination using physiological metric sensor data
A wearable computing device includes an electronic display with a configurable brightness level setting, a physiological metric sensor system including a light source configured to direct light into tissue of a user wearing the wearable computing device and a light detector configured to detect light from the light source that reflects back from the user. The device may further include control circuitry configured to activate the light source during a first period, generate a first light detector signal indicating a first amount of light detected by the light detector during the first period, deactivate the light source during a second period, generate a second light detector signal indicating a second amount of light detected by the light detector during the second period, generate a physiological metric based at least in part on the first light detector signal and the second light detector signal, and modify the configurable brightness level setting based on the second light detector signal.
G01J 1/42 - Photometry, e.g. photographic exposure meter using electric radiation detectors
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G01J 1/32 - Photometry, e.g. photographic exposure meter by comparison with reference light or electric value intensity of the measured or reference value being varied to equalise their effects at the detector, e.g. by varying incidence angle using variation of intensity or distance of source using electric radiation detectors adapted for automatic variation of the measured or reference value
G01J 1/18 - Photometry, e.g. photographic exposure meter by comparison with reference light or electric value using electric radiation detectors using comparison with a reference electric value
Systems, devices, and methods for tracking one or more physiological metrics (e.g., heart rate, blood oxygen saturation, and the like) of a user are described. For example, one or more light sources and one or more light detectors may be positioned on a wearable device such that light can be emitted towards the user's skin and further such that light reflected back to the wearable device can be measured and used to generate values for the one or more physiological metrics.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/02 - Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
Low-profile latching mechanisms and related mechanical interfaces for allowing straps and other fastening accessories for limb-wearable devices are provided. The mechanisms in question allow for a very strong, yet easily releasable, connection to be made between a strap accessory and a device housing, with very little of the mechanism being visible.
A44C 5/14 - Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps characterised by the way of fastening to a wrist-watch or the like
A44C 5/00 - Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps
A wearable device for tracking swim activities of a user is provided. The wearable device may include one or more sensors configured to generate sensor data, and based on the sensor data, the wearable device may determine swim metrics such as swim stroke count, swim stroke type, swim lap count, and swim speed. The determined swim metrics may be filtered based on one or more swim periods during which the user is likely to have been swimming. The wearable device may determine such swim periods based on the sensor data and/or the determined swim metrics.
A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
G01C 5/06 - Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels by using barometric means
G01P 15/18 - Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration in two or more dimensions
A63B 71/06 - Indicating or scoring devices for games or players
G01C 22/00 - Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers or using pedometers
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G09B 19/00 - Teaching not covered by other main groups of this subclass
76.
Contextual information usage in systems that include accessory devices
Techniques are disclosed for using contextual information to determine an appropriate response in a system that includes a device paired with an accessory device. The contextual information can be sourced from local sensors, received communications, and information stored on a device within the system. Stored parameters in the system allow flexibility and configurability in evaluating the contextual information. Using feedback obtained after actions taken based on the contextual information allows the system to adapt to better meet the needs of the user.
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
H04M 1/72412 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories using two-way short-range wireless interfaces
H04M 1/72454 - User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
H04W 4/30 - Services specially adapted for particular environments, situations or purposes
Disclosed herein is a ring-shaped wearable device for detecting biometrics with a light source and a photodetector directed towards a digit wearing the ring-shaped device. The ring can thus detect oxygen saturation of a wearer based on light transmitted through the wearer's finger. The ring can include power saving measures to extend the battery life. A motion sensor can help determine opportune moments for data collection such as when the wearer is still. The motion sensor can be used to remove noise from the data caused by motion. After data is collected or during data collection, the ring can wirelessly communicate the data to another portable electronic device such as a phone or watch.
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value
G01N 33/49 - Physical analysis of biological material of liquid biological material blood
G01N 21/3577 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing liquids, e.g. polluted water
Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.
2) level, and hemoglobin concentration, among other such options. The metrics are monitored over time to determine patterns that can be correlated with menstrual cycle. This information can then be used to update the predictive model, as well as to update individual event predictions. Information about the predictions, and updates to the predictions, can be surfaced accordingly.
A61B 10/00 - Other methods or instruments for diagnosis, e.g. for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
According to one embodiment, an apparatus comprising a portable monitoring device to be affixed to a user. The portable monitoring device including: 1) a set of one or more sensors to generate sensor data indicative of physical activity of a user when the portable monitoring device is affixed to the user; and 2) processing circuitry coupled with the set of sensors, to detect that the user has been sedentary for a period of time, and cause the portable monitoring device to alert the user responsive to the detection to encourage the user to move.
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/22 - Ergometry; Measuring muscular strength or the force of a muscular blow
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G01C 22/00 - Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers or using pedometers
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/021 - Measuring pressure in heart or blood vessels
A61B 5/08 - Measuring devices for evaluating the respiratory organs
G06F 15/00 - Digital computers in general; Data processing equipment in general
A61B 5/02 - Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value
G01P 15/00 - Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
Multiple circuits in a computing device can share one or more conductive elements. The use of the conductive element can vary by circuit, such as an antenna radiator for a radio frequency (RF) circuit or an electrode for an electrocardiography (ECG) circuit. The circuitry sharing a conductive element can utilize signals obtained over different frequency ranges. Those ranges can be used to select decoupling circuitry, or elements, that can enable the respective circuits to obtain signals over a respective frequency range, excluding signals over one or more other frequency ranges corresponding to other circuitry sharing the circuit. Such an approach allows for concurrent independent operation of the circuitry sharing a conductive element.
A wearable computing device includes one or more processors, memory and a physiological metric sensor system, including a light source configured to direct light into tissue of a user wearing the wearable computing device, a light detector implemented a distance away from the light source and configured to detect light from the light source that reflects back from the user, and a light-blocking portion implemented between the light source and the light detector. The wearable computing device may further include an audio port directed towards an ear canal of the user and control circuitry configured to activate the light source during a period of time and generate a light detector signal indicating an amount of light detected by the light detector during the period of time.
A wearable computing device includes an electronic display with a configurable brightness level setting, a physiological metric sensor system including a light source configured to direct light into tissue of a user wearing the wearable computing device and a light detector configured to detect light from the light source that reflects back from the user. The device may further include control circuitry configured to activate the light source during a first period, generate a first light detector signal indicating a first amount of light detected by the light detector during the first period, deactivate the light source during a second period, generate a second light detector signal indicating a second amount of light detected by the light detector during the second period, generate a physiological metric based at least in part on the first light detector signal and the second light detector signal, and modify the configurable brightness level setting based on the second light detector signal.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
G01J 1/42 - Photometry, e.g. photographic exposure meter using electric radiation detectors
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G01J 1/32 - Photometry, e.g. photographic exposure meter by comparison with reference light or electric value intensity of the measured or reference value being varied to equalise their effects at the detector, e.g. by varying incidence angle using variation of intensity or distance of source using electric radiation detectors adapted for automatic variation of the measured or reference value
G01J 1/18 - Photometry, e.g. photographic exposure meter by comparison with reference light or electric value using electric radiation detectors using comparison with a reference electric value
Techniques for user identification by a biometric monitoring device are disclosed. In one aspect, a method of operating a biometric monitoring device may involve measuring a weight of a user in response to detecting that the user is standing on a platform, determining, based on sensor data generated by a sensor, a user parameter indicative of the user's identification, identifying one of a plurality of user profiles as corresponding to the user based on a comparison of the user parameter to parameter values and a comparison of the measured weight of the user to weight values, and updating the identified user profile based on at least one of the measured weight and the user parameter.
A61B 5/1171 - Identification of persons based on the shapes or appearances of their bodies or parts thereof
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G01G 19/50 - Weighing apparatus or methods adapted for special purposes not provided for in groups for weighing persons having additional measuring devices, e.g. for height
G06V 40/70 - Multimodal biometrics, e.g. combining information from different biometric modalities
G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Systems and devices of the present disclosure provide automated detection and tracking of carbon monoxide inhalation through non-invasive optical spectroscopy. A wearable device includes a light source coupled to the base and directing light towards a subject and a photodetector coupled to the base to receive light emitted by the light source through or reflected the subject. The light source emits light at a wavelength spectrum corresponding to a carboxyhemoglobin absorption spectrum and an oxyhemoglobin absorption spectrum. Biometric circuitry is coupled to the photodetector to receive a signal from the photodetector and process the signal to determine an intensity of the wavelengths present in the light received at the photodetector. The intensity of the wavelengths is indicative of a level of carbon monoxide inhalation associated with the subject.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
H04L 12/18 - Arrangements for providing special services to substations for broadcast or conference
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G01C 22/00 - Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers or using pedometers
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
H04W 4/00 - Services specially adapted for wireless communication networks; Facilities therefor
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
H04L 67/1095 - Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
H04M 1/724 - User interfaces specially adapted for cordless or mobile telephones
H04M 1/72451 - User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to schedules, e.g. using calendar applications
H04M 1/72454 - User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
H04L 51/52 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
G06F 15/00 - Digital computers in general; Data processing equipment in general
G06F 3/041 - Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
G08B 3/10 - Audible signalling systems; Audible personal calling systems using electromagnetic transmission
G08B 5/36 - Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electromagnetic transmission using visible light sources
G08B 6/00 - Tactile signalling systems, e.g. personal calling systems
H04L 65/403 - Arrangements for multi-party communication, e.g. for conferences
A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/021 - Measuring pressure in heart or blood vessels
A61B 5/22 - Ergometry; Measuring muscular strength or the force of a muscular blow
H04L 51/58 - Message adaptation for wireless communication
90.
Automatic detection of user's periods of sleep and sleep stage
Aspects of automatically detecting periods of sleep of a user of a wearable electronic device are discussed herein. For example, in one aspect, an embodiment may obtain a set of features for periods of time from motion data obtained from a set of one or more motion sensors in the wearable electronic device or data derived therefrom. The wearable electronic device may then classify the periods of time into one of a plurality of statuses of the user based on the set of features determined for the periods of time, where the statuses are indicative of relative degree of movement of the user. The wearable electronic device may also derive blocks of time each covering one or more of the periods of time during which the user is in one of a plurality of states, wherein the states include an awake state and an asleep state.
Two devices can be connected for communication by a wireless connection, where those devices will function as master and slave devices with respect to that connection. A slave device to a connection can perform changes to the connection on behalf of an application, subsystem, or other such source on either the slave device or a master device. These changes can include changes to connection parameter values, or can include state changes such as to perform a disconnect action. Enabling the slave device to perform these actions can help to bypass any restrictions that would otherwise prevent these actions being performed from a master device to the connection.
H04W 76/23 - Manipulation of direct-mode connections
H04W 4/70 - Services for machine-to-machine communication [M2M] or machine type communication [MTC]
H04W 84/18 - Self-organising networks, e.g. ad hoc networks or sensor networks
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
H04W 4/20 - Services signalling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
Two devices can be connected for communication by a wireless connection, where those devices will function as master and slave devices with respect to that connection. A slave device to a connection can perform changes to the connection on behalf of an application, subsystem, or other such source on either the slave device or a master device. These changes can include changes to connection parameter values, or can include state changes such as to perform a disconnect action. Enabling the slave device to perform these actions can help to bypass any restrictions that would otherwise prevent these actions being performed from a master device to the connection.
H04W 76/23 - Manipulation of direct-mode connections
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
H04W 4/20 - Services signalling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
Disclosed herein is a ring-shaped wearable device for detecting biometrics with a light source and a photodetector directed towards a digit wearing the ring-shaped device. The ring can thus detect oxygen saturation of a wearer based on light transmitted through the wearer's finger. The ring can include power saving measures to extend the battery life. A motion sensor can help determine opportune moments for data collection such as when the wearer is still. The motion sensor can be used to remove noise from the data caused by motion. After data is collected or during data collection, the ring can wirelessly communicate the data to another portable electronic device such as a phone or watch.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value
G01N 33/49 - Physical analysis of biological material of liquid biological material blood
G01N 21/3577 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing liquids, e.g. polluted water
patents
