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The use of Independent component analysis on EMG data to explore cross-talk
Date
2015
Abstract
The purpose of this study was to explore the use of Independent Component Analysis (ICA) on Electromyography (EMG) data to distinguish between individual muscle activations due to its capabilities of signal separation. EMG data was gathered on seven participants using the Delsys Trigno Wireless EMG system. Participants performed movements which targeted the quadriceps muscle group. EMG sensors were attached according to SENIAM recommendations and extra sensors were attached in non-recommended locations. Signals were gathered and passed through an ICA algorithm to explore crosstalk. The results showed moderate levels of agreement in mixed signals and original signals.
Supervisor
Description
peer-reviewed
Publisher
International Society of Biomechanics in Sports
Citation
25th Congress of the International Society of Biomechanics;
Files
ULRR Identifiers
Funding code
Funding Information
Analog Devices, Irish Research Council (IRC)