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.