University of Utah Research Foundation

Tyler Davis

Gregory Arthur Clark

Suzanne Wendelken

David Kluger

Christopher Duncan

David Page

David James Warren

Jacob Nieveen

A technology is described for determining an intended movement from neuromuscular signals. An example method () includes receiving electromyography (EMG) data corresponding to single-ended channels of an electrode array (), where EMG signals are detected by electrodes comprising the single-ended channels of the electrode array and the EMG signals are converted to the EMG data. Determining differential channel pairs for the single-ended channels of the electrode array () and extracting feature data from the EMG data of the differential channel pairs (). Thereafter a feature data set is selected from the feature data of the differential channel pairs () and the feature data set is input to a decode model configured to correlate the feature data set to an intended movement (). Decode output is received from the decode model indicating the intended movement () and the decode output is provided to a device ().

Signal processing for decoding intended movements from electromyographic signals

A technology is described for an electronic peripheral nerve stimulation system. The electronic nerve stimulation system can include a stimulation device and an electrode array. The stimulation device can be operable to generate a high-frequency alternating current. The electrode array can be operable to apply the high-frequency alternating current received from the stimulation device to selected subpopulations of peripheral nerve fibers within a peripheral nerve to block transmission of neural signals along the selected subpopulations of peripheral nerve fibers within the peripheral nerve.

Electronic peripheral nerve stimulation

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Salt Lake City, UT, United States of America

Tyler Davis