Signal processing for decoding intended movements from electromyographic signals

US11596346B2 · kind B2 · utility

Assignee

• University of Utah Research Foundation · US

Inventors

• Suzanne Wendelken · Salt Lake City, US
• Tyler Davis · Salt Lake City, US
• David Page · Salt Lake City, US
• David Kluger · Salt Lake City, US
• David J. Warren · Tillson, US
• Gregory Clark · Salt Lake City, US
• Christopher Duncan · Salt Lake City, US
• Jacob Nieveen · Salt Lake City, US

Key dates

• Filing date: Aug 1, 2017
• Grant date: Mar 7, 2023
• Expiry date: Jun 20, 2038

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B2562/046
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A technology is described for determining an intended movement from neuromuscular signals. An example method (800) includes receiving electromyography (EMG) data corresponding to single-ended channels of an electrode array (810), 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 (820) and extracting feature data from the EMG data of the differential channel pairs (830). Thereafter a feature data set is selected from the feature data of the differential channel pairs (840) and the feature data set is input to a decode model configured to correlate the feature data set to an intended movement (850). Decode output is received from the decode model indicating the intended movement (860) and the decode output is provided to a device (870).