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Mathematically modelling surface EMG signals
Author(s) -
Mordhorst Mylena,
Heidlauf Thomas,
Röhrle Oliver
Publication year - 2014
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201410049
Subject(s) - computer science , signal (programming language) , motor unit , artificial intelligence , neuroscience , biology , programming language
Comprehension and correct interpretation of EMG signals and their generation could still be well improved. Computational models that can predict the EMG signal resulting from realistic motor unit recruitment as well as the underlying biophysical processes of single skeletal muscle fibres are therefore highly desirable. Having such a model available, one can test, verify and improve algorithms determining motor unit recruitment. Here, we present a three‐dimensional, continuum‐based, forward model that is able to produce a virtual EMG signal based on the underlying biophysical principles of skeletal muscle fibre activation. The result is a virtual EMG signal for complex and realistic geometries that may even undergo deformations as in the case of dynamic contractions. (© 2014 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)