A system and method for algorithmically modifying, in real-time, one or more graphical user elements of an end user application for a SaMD or DHI product/platform. The method may enable real-time modification of a graphical user interface in response to determining that one or more user-generated responses in response to one or more CSIs are reflective of a targeted stimulus-response pattern. The targeted stimulus-response pattern may reflect a threshold of active therapeutic delivery for the SaMD or DHI to the end user. The method of algorithmically modifying the one or more graphical user elements may include rendering new elements or modifying existing elements, including changing the color of existing elements, for only the time period when the user-generated responses are reflective of the targeted stimulus-response pattern and/or for a pre-determined period of time before and/or after the user-generated responses are reflective of the targeted stimulus-response pattern.
G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
G06F 3/00 - Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
2.
SYSTEM AND METHOD FOR ADAPTIVE CONFIGURATION OF COMPUTERIZED COGNITIVE TRAINING PROGRAMS
A system, method, and computer platform product for an adaptive cognitive training platform. In accordance with various aspects of the present disclosure, an adaptive cognitive training platform is configured to process user activity data from one or more instances of a computerized cognitive training program to determine a baseline cognitive assessment for one or more cognitive abilities/skills of a user. The cognitive assessment model may be configured to further process the user activity data to predict a relative value or measure of efficacy for one or more computerized stimuli or interactions within the computerized cognitive training program. The adaptive cognitive training platform may be configured to configure, modify and/or present one or more graphical user interface elements for one or more subsequent instances of the computerized cognitive training program according to the predicted value or measure of efficacy of one or more cognitive training tasks.
A design control architecture and software quality assurance system for analyzing stimulus-response patterns in user activity data. A design control architecture and software quality assurance system may process user activity data according to a classifier model to assess an impact of an incremental design change to one or more quality measures of a software product. In accordance with certain embodiments the one or more quality measures may include one or more efficacy, safety, and/or performance metrics associated with one or more features of the software product. In certain embodiments, the software product may comprise a digital health intervention or software as a medical device product.
Systems and methods for distributed scientific evaluation of software product comprising a digital health intervention or software as a medical device product. In certain embodiments, a scientific evaluation system is operably configured to analyze one or more safety, efficacy, performance, and/or quality assurance aspects for program code outputs of the software product. In further embodiments, a scientific evaluation system is operably configured to configure and administer a distributed scientific evaluation, research study and/or clinical trial for the software product. In certain embodiments, a scientific evaluation system is configured to enable scientific evaluation of one or more program code outputs of a software product for one or more indication or intended use.
Embodiments of the present disclosure provide a system and method for using facial recognition and mimicry workflows to train cognitive and emotional empathy. The system and methods comprise the use of physiological measurements (e.g., EEC, etc.) in combinations with facial recognition to detect user affect and modify one or more cognitive screening instruments to further promote a user affect. One or more specific emotions associated with one or more specific negative cognitive bias are targeted to influence affect. One or more specific psychopathology may be treated using an emotional recognition training component within a computerized cognitive- bias modification regimen. The regimen may comprise the identification, targeting, and modification of emotions and may utilize one or more facial inputs, cognitive tasks, facial recognition and facial mimicry protocols to adaptively modify one or more attributes of one or more computerized stimuli or interactions within a computerized platform or platform-product.
Generating, rendering and outputting one or more audio signals that have one or more audio sequences and/or spectral modulations of an audio file including a plurality of audio-based user prompts in an audio interference processing system. An audio interference processing system and method incudes initiating an instance of an audio interference processing session, configuring one or more session parameters, rendering/outputting a training audio output to one or more transducers, rendering/outputting one or more audio discrimination and audio navigation signals to the one or more transducers, receiving two or more sensor inputs in response to rendering/outputting one or more audio discrimination and audio navigation signals to the one or more transducers, processing the two or more sensor inputs, and providing a feedback output to a user via one or more modalities.
Adaptive modification and presentment of user interface elements in a computerized therapeutic treatment regimen. Embodiments of the present disclosure provide for non-linear computational analysis of cData and nData derived from user interactions with a mobile electronic device executing an instance of a computerized therapeutic treatment regimen. The cData and nData may be computed according to one or more artificial neural network or deep learning technique to derive patterns between computerized stimuli or interactions and sensor data. Patterns derived from analysis of the cData and nData may be used to define an effort metric associated with user input patterns in response to the computerized stimuli or interactions being indicative of a measure of user engagement or effort. A computational model or rules engine may be applied to adapt, modify, configure or present one or more graphical user interface elements in a subsequent instance of the computerized therapeutic treatment regimen.
Systems and methods for generating a personalized cognitive treatment recommendation for an individual. The system includes one or more processors; and a memory to store processor-executable instructions. Upon execution of the instructions, the one or more processors receive parameters for at least one cognitive treatment tool; receive physiological data indicative of a condition of the individual, and/or clinical data associated with the individual; and generate the personalized cognitive treatment recommendation based on the physiological data and/or the clinical data. The recommendation includes a specification of (i) at least one first cognitive treatment tool, (ii) at least one second cognitive treatment tool different from the at least one first cognitive treatment tool, or (iii) both (i) and (ii). Optionally, the one or more processors receive performance data indicative of the individual's performance of at least one task associated with the at least one cognitive treatment tool of the recommendation.
Computer-implemented systems and methods for mood and cognitive assessment and treatment. A software platform is configured to facilitate assessment or measurement of a user's response to a mood disorder treatment and/or to provide data or other quantitative indicia of a user's mood or cognitive or affective bias. The mood disorder treatment may include administration of a psychedelic and/or dissociative drug.
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
10.
COGNITIVE PLATFORM INCLUDING COMPUTERIZED ELEMENTS
Apparatus, systems, and methods are provided for generating a quantified indicator of cognitive skills in an individual. In certain configurations, the apparatus, systems, and methods can be implemented for enhancing cognitive skills in an individual.
Apparatus, systems and methods are provided for quantifying aspects of cognition (including cognitive abilities) under emotional load. In certain configurations, the apparatus, systems and methods can be implemented for enhancing certain cognitive abilities.
Apparatus, systems and methods for generating an assessment of one or more cognitive abilities in an individual by analyzing measurement data collected from measurements of the physical actions of the individual in interacting with computerized tasks involving spatial navigation including one or more of way-finding, path-plotting, route-learning, or path integration. The analysis is used to provide a performance metric indicative of the cognitive ability of the individual, and optionally to generate an indication of a neurodegenerative condition of the individual.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
A61B 5/16 - Devices for psychotechnics; Testing reaction times
A61N 1/36 - Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
13.
DISTRIBUTED NETWORK FOR THE SECURED COLLECTION, ANALYSIS, AND SHARING OF DATA ACROSS PLATFORMS
Computer-implemented methods and systems for managing the collection of and access to behavior assessment data. In an embodiment, a first user having authority to act on behalf of an individual under study identifies a second and third user role, specifies behavior data, symptom measurement data, and/or medicine regimen data associated with the individual under study, and defines access permissions for the second and third user roles with respect to the behavior data and symptom measurement data. The symptoms and behaviors to be measured are specified based on a condition of the individual. Users provide behavior data and symptom measurement data observed from the individual. An analytics module performs computational analysis on the behavior data and symptom measurement data, thereby producing behavior assessment data. A reporting module presents the behavior assessment data to the users in a manner consistent with the defined access permissions.
Example systems, methods, and apparatus are provided for using data collected from the responses of an individual with the computerized tasks of a cognitive platform to derive performance metrics as an indicator of cognitive abilities, and applying predictive models to the performance metrics and data indicative of one or both of the individual's age and gender to generate an indication of neurodegenerative condition. The example systems, methods, and apparatus also can be configured to adapt the computerized tasks to enhance the individual's cognitive abilities, and for using data collected from the responses of the individual with the adapted computerized tasks to derive performance metrics and applying predictive models to the performance metrics and data indicative of one or both of the individual's age and gender to generate the indication of neurodegenerative condition.
A cognitive platform is disclosed that is configured for either or both of assessing or enhancing the cognitive abilities of an individual based on implementing one or more navigation task(s) in an environment. A first task is rendered that requires the individual to rely on allocentric navigation capabilities to navigate in the environment based on a first set of views of portions of the environment rendered at the user interface. A second task is rendered that requires the individual to rely on egocentric navigation capabilities to navigate in the environment. An indication of a cognitive ability in the individual can be generated based on the difference in the individual's performance at the first task as compared to the second task.
Example systems, methods, and apparatus are provided for using data collected from the responses of an individual with the computerized tasks of a cognitive platform to derive performance metrics as an indicator of cognitive abilities, and applying predictive models to generate an indication of neurodegenerative condition. The example systems, methods, and apparatus also can be configured to adapt the computerized tasks to enhance the individual's cognitive abilities, and for using data collected from the responses of an individual with the adapted computerized tasks to derive performance metrics and applying predictive models to generate the indication of neurodegenerative condition.
Example systems, methods, and apparatus, including cognitive platforms, are provided for computing performance metrics of an individual based at least in part on user interaction(s) with computerized tasks and/or interference and at least one physiological measure of the individual, where the performance metric provides an indication of the cognitive abilities of the individual. The apparatus can be coupled to at least one physiological component to perform the physiological measurement of the individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.
An apparatus for generating a quantifier of cognitive skills in an individual includes a user interface, a memory to store processor-executable instructions, and a processing unit communicatively coupled to the user interface and the memory. Upon execution of the processor-executable instructions by the processing unit, the processing unit is configured to: render a first instance of a task with an interference at the user interface, requiring a first response from the individual to the first instance of the task in the presence of the interference and a response from the individual to at least one evocative element. One or more of the first instance of the task and the interference comprises the at least one evocative element. The user interface is configured to measure data indicative of the response of the individual to the at least one evocative element, the data comprising at least one measure of emotional processing capabilities of the individual under emotional load. The apparatus is configured to measure substantially simultaneously the first response from the individual to the first instance of the task and the response from the individual to the at least one evocative element. The processing unit is further configured to receive data indicative of the first response and the response of the individual to the at least one evocative element. The processing unit is further configured to analyze the data indicative of the first response and the response of the individual to the at least one evocative element to compute at least one performance metric comprising at least one quantified indicator of cognitive abilities of the individual under emotional load.
Example systems, methods, and apparatus, including cognitive platforms, are provided for applying signal detection metrics in computer-implemented adaptive response-deadline procedures to data collected based at least in part on user interaction(s) with computerized tasks and/or interferences. The apparatus can include a response classifier for generating a quantifier of the cognitive abilities of an individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.
A computer-implemented cognitive assessment tool is provided for assessing cognitive ability of an individual while multi-tasking. In one embodiment, a computer processing system on which the tool is implemented may receive form the individual first responses to a first task and second responses to a second task, where the first task and the second task are presented to the individual simultaneously. The system may determine that the first task and the second task are performed by the individual based on the first responses and the second responses, and compute a cognitive measure using one or both of the first responses and the second responses. Further, computing the cognitive measure may be based on performance measures of one or both of the first responses and the second responses. Based on the cognitive measure, the system may output a cognitive assessment to the individual.
Systems and methods are provided for the implementation of personalized cognitive training. As an example, a processor-implemented method is provided for enhancing cognitive abilities of a user by personalizing cognitive training regimens through difficulty progression. The method includes: performing a cognitive assessment of a user using a set of assessment tasks; estimating a maximal performance of the user related to the set of assessment tasks; determining a performance range based at least in part on the maximal performance of the user; dividing the performance range into a plurality of progress gates, the plurality of progress gates corresponding to a plurality of task difficulty levels; selecting a first progress gate within the performance range; generating a first set of training tasks associated with the first progress gate; and collecting the user's first training responses to the first set of training tasks.
patents
