Abstract: A method comprises receiving electrical signals pertaining to electrophysiological biopotentials sensed from the skin of an individual over a plurality of identified channels, processing the electrical signals to provide for each channel a likelihood for local muscle activation, and analyzing the likelihoods based on the channel identification to determine a behavioral activity of the individual.
Abstract: A system for analyzing electrophysiological signals comprises a plurality of electrodes which are adherable to a skin of a subject, and which comprises a ground electrode and a set of signal electrodes. The system also comprises a processor in communication with the electrodes. The processor has a circuit configured to receive from the signal electrodes a first set of signal channels when the ground electrode is disconnected and a second set of signal channels when the ground electrode is active, to compare powers above baseline among the first and the second set of signal channels, and to determine an attachment state of each electrode based on the comparison.
Abstract: A system for determining muscle activation comprises a set of electrode adherable to a skin of a subject, and a processor in communication with the electrodes. The processor has a circuit configured for receiving locations of the electrodes and electrical signals detected by the electrodes, analyzing the signals to identify a section of an active muscle, identifying locations of at least a segment of active muscles and activation patterns of the active muscles based on the identified section, and constructing a displayable map of the locations and the activation patterns, wherein patterns corresponding to different active muscles are distinguishable on the map.
Type:
Application
Filed:
September 26, 2022
Publication date:
January 19, 2023
Applicants:
X-trodes LTD, Ramot at Tel-Aviv University Ltd.