Abstract: The present disclosure relates to a method and system for acquiring and analyzing multi-modal data to monitor, forecast, and manage one or more symptoms of the neurodegenerative disorders such as Parkinson disease of a subject. The multi-modal data may include sensor data from a wearable sensing device, medications data, symptom-intensity scores for one or more symptoms, and mobility metrics of the subject. A predicted symptom-intensity score (e.g., absolute or relative value) may be generated for each of the one or more symptoms using a symptom-forecasting model (e.g., a machine learning model) and for each of one or more future time periods. Based on the predicted symptom-intensity scores, a trend can be generated for a selected time period. The disclosed system may output a result that comprises of intervention actions, such as medication administration, physical activity, or any other intervention that can be used to control symptoms severity.

Abstract: Methods and systems are provided for simulating neuromodulation therapy. An identification of a particular neuromodulation-therapy implant device, an identification of a particular neuromodulation-therapy algorithm, and subject records corresponding to a subject may be received. neuromodulation-therapy simulator may execute to generated predicted performance metric for the particular neuromodulation-therapy implant device. The predicted performance may correspond to predicted physiological responses of the subject when the particular neuromodulation-therapy algorithm is executed by the particular neuromodulation-therapy implant device. The predicted performance metrics may be output.

Abstract: Some disclosed techniques relate to extracting one or more features based on an average evoked response and generating a result that identifies: a predicted degree of inflammation; a predicted degree of myelination; a predicted degree of demyelination; or a predicted degree to which a symptom or disease of the subject would be effectively treated by a remyelination therapy. Some disclosed techniques relate to accessing evoked compound action potentials, mapping the evoked potentials to a functional system; generating an average evoked response; extracting one or more features from the average evoked response; and generating a functional-system impairment metric associated with the functional system based on the one or more features, where the functional-system impairment metric indicates whether or an extent to which the functional system of the subject is impaired.

Abstract: Methods and systems are provided for generating specific software implementations of neuromodulation-therapy algorithms. A dataset may be received that includes operational specifications that correspond to a plurality of types of neuromodulation-therapy implant devices. A neuromodulation-therapy design interface may provide a representation of the neuromodulation-therapy implant device. A selection if a particular representation of a particular neuromodulation-therapy implant device may be received. Hardware characteristics of the particular neuromodulation-therapy implant device may be used to determine constraints of the implant device. A listing of neuromodulation-therapy parameters that is constraining according to the constraints may be presented. In response to a selection of a parameter, executable software code corresponding to a specific implementation of a neuromodulation-therapy algorithm may be generated.

Abstract: Methods and systems are provided for updating neuromodulation-therapy algorithms. Sensor data may be received from a subject monitoring device that includes one or more sensors. A state of the subject within a directed-cyclic state diagram may be retrieved along with a current neuromodulation-therapy algorithm that corresponds to the state. Based on the sensor data and the current neuromodulation-therapy algorithm, a new state of the subject may be determined, the new state including an update to the current neuromodulation-therapy algorithm for the subject. In response to determining the new state, a wireless transmission that includes an identification of the new state and the update neuromodulation-therapy algorithm may be initiated to the implant device associated with the subject.