Surface Electromyography (EMG) Signal Processing

Dario Farina

Aalborg University, Center for Sensory-Motor Interaction (SMI), Department of Health Science and Technology, Aalborg, Denmark

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Dario Farina,

Dario Farina

Aalborg University, Center for Sensory-Motor Interaction (SMI), Department of Health Science and Technology, Aalborg, Denmark

Search for more papers by this author

First published: 14 April 2006

https://doi.org/10.1002/9780471740360.ebs1378

Citations: 2

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Abstract

An overview of the common methods for processing surface electromyographic (EMG) signals is provided. The extraction of information from the surface EMG is based on the analysis of global properties of the interference signal or on the decomposition of the signal into single-motor unit activities. Global analysis includes estimation of amplitude, power spectrum, average muscle fiber conduction velocity, and recurrence quantification. Single-motor unit analysis is based on spatial filtering and spatial sampling. These techniques are reviewed and their limitations outlined. Finally, open issues in surface EMG signal processing are discussed.

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