University of Utah Research Foundation

Jacob Nieveen

Gregory Arthur Clark

Suzanne Wendelken

David James Warren

David Kluger

Christopher Duncan

David Page

Tyler Davis

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

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Salt Lake City, UT, United States of America

Jacob Nieveen