Purdue Research Foundation

Matthew P Ward

Pedro P Irazoqui

Muhammad Abdullah Arafat

High-resolution, selective, and self-optimizing haptic and electrotactile display and methods of use. In an embodiment of a feedback system referenced herein, the feedback system includes a prosthesis configured to be worn by an individual, including at least one prosthesis sensor configured to detect a state or condition in an environment of the at least one prosthesis sensor, and at least one actuator in communication with the at least one prosthesis sensor and configured to receive data relating to the detected state or condition and to stimulate a nerve of the individual; a neural sensor positioned upon or within the individual, configured to detect a neural response relating to the stimulation of the nerve by the at least one actuator; and a processor in communication with at least one of the at least one prosthesis sensor, at least one of the at least one actuator, and the neural sensor.

High-resolution, selective and self-optimizing haptic and electrotactile display and methods of use

A gastric electric stimulation (GES) system is disclosed which includes a processing system, and at least one of a left vagus nerve sensor (L/R Sensors) and a right vagus nerve sensor coupled to the processing system, the processing system is configured to receive a model which statistically correlates sensed compound nerve action potential (CNAP) parameters measured from at least one of left and right vagus nerves of subjects within a population to feedback surveys of the subjects corresponding to a plurality of gastric symptoms and symptom parameters, receive one or more gastric symptoms of a subject outside of the population (Subject), determine CNAP parameters that correspond to the gastric symptoms with least severity (CNAP), measure CNAP activity of the Subjectfrom the L/R sensors while modifying GES parameters for the Subject, select the GES parameters that corresponds to the CNAP(GES), and output the GES.

System and method for gastric electrical stimulation using compound nerve action potential feedback

The present disclosure is directed to a method and apparatus to autonomously stimulate a plurality of nerve fiber groups. The method and apparatus predicts stimulus parameters that can activate 0-100% of the nerve fiber groups selectively according to a patient's characteristics and proportional to therapeutic outcomes, such as determined by experimental data. The method and apparatus may further be configured to input experimental third-party data to obtain a high efficacy from a patient without invasive neurosurgery.

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Indianapolis, IN, United States of America

Matthew P Ward