Systems and methods for detecting and treating neurophysiological impairment

A system, comprising:

• a stimulation assembly, including:
• a housing configured to be worn on a body of a user, and
• a set of electrodes coupled to the housing, at least a portion of the set of electrodes configured to be disposed on a mastoid of the user, the set of electrodes including electrical vestibular stimulation (EVS) electrodes;
• and
• a controller in communication with the stimulation assembly, the controller configured to:
• receive a phybrata signature that is associated with the user and indicative of at least one of a vestibular impairment, an involuntary physical motion, a head tremor, or a fall,
• determine stimulation signal parameters based on the phybrata signature, and
• selectively generate a signal based on the stimulation signal parameters, the signal configured to activate at least one pair of the set of electrodes to apply an EVS waveform to the user corresponding to the stimulation signal parameters, the EVS waveform including a therapeutic EVS signal or a corrective EVS signal, the therapeutic EVS signal or the corrective EVS signal configured to reduce a head tremor.

A system, comprising:

• a sensing and stimulation assembly, including:
• a housing,
• a first sensor disposed in the housing and configured to measure a first phybrata signal from a user,
• a second sensor disposed in the housing and configured to measure a second phybrata signal from the user, the second phybrata signal being different from the first phybrata signal, and
• a set of electrodes coupled to the housing, at least a portion of the set of electrodes configured to be disposed on a mastoid of the user, the set of electrodes including electrical vestibular stimulation (EVS) electrodes;
• and
• a controller communicatively coupled to the sensing and stimulation assembly, the controller configured to:
• receive phybrata data from the sensing and stimulation assembly, the phybrata data including information obtained from the first phybrata signal and the second phybrata signal,
• determine a phybrata parameter associated with the user based on the phybrata data,
• determine a phybrata signature that is associated with the user based on the phybrata parameter and indicative of at least one of a vestibular impairment, an involuntary physical motion, a head tremor, or a fall,
• determine stimulation signal parameters based on the phybrata signature, and
• selectively generate a signal based on the stimulation signal parameters, the signal configured to activate at least one pair of the set of electrodes to apply an EVS waveform to the user corresponding to the stimulation signal parameters, the EVS waveform including a therapeutic EVS signal or a corrective EVS signal, the corrective EVS signal configured to reduce the head tremor.

A system, comprising:

• a sensing assembly configured to be disposed on a mastoid of a user, the sensing assembly including:
• a housing,
• a first sensor disposed in the housing and configured to measure a first phybrata signal from the user, and
• a second sensor disposed in the housing and configured to measure a second phybrata signal from the user, the second phybrata signal different from the first phybrata signal;
• and
• a controller in communication with the sensing assembly, the controller configured to:
• receive a first phybrata data from the sensing assembly, the first phybrata data including information obtained from the first phybrata signal and the second phybrata signal,
• determine a phybrata parameter associated with the user based on the first phybrata data,
• determine a phybrata signature associated with the user based on the phybrata parameter;
• generate a corrective signal indicative of a corrective parameter determined based on the phybrata signature, the generated corrective signal configured to cause an electrode to apply the corrective signal to the user;
• generate a biomechanical model of the user;
• generate simulated phybrata data associated with the biomechanical model of the user based on the first phybrata data;
• determine simulated phybrata parameters associated with the biomechanical model of the user based on the phybrata parameter;
• determine a simulated phybrata signature associated with the biomechanical model of the user based on the phybrata signature;
• determine a simulated quantitative phybrata metric based on the simulated phybrata signature, the simulated quantitative phybrata metric configured to classify, quantify, and/or track a magnitude and time evolution of at least one of a balance performance, a postural stability performance, a movement performance, a physiological disruption, or a physiological impairment associated with the user;
• generate adjusted phybrata data based on the first phybrata data, synthetic phybrata data, and the simulated phybrata data;
• determine an adjusted phybrata signature indicative of the adjusted phybrata data associated with the user;
• receive a second phybrata data from the sensing assembly;
• compare the second phybrata data with the adjusted phybrata data;
• generate predictive data based on the comparing between the second phybrata data with the adjusted phybrata data, the predictive data indicative of projected physiological changes in the user;
• and
• generate a predictive phybrata signature indicative of the predictive data.