Mathematically modelling surface EMG signals |
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| Authors: | Mylena Mordhorst Thomas Heidlauf Oliver Röhrle |
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| Institution: | 1. Institute of Applied Mechanics (CE), University of Stuttgart, Pfaffenwaldring 7, 70569 Stuttgart, Germany;2. Institute of Applied Mechanics (CE), University of Stuttgart, Pfaffenwaldring 7, 70569 Stuttgart, Germany
Stuttgart Research Centre for Simulation Technology (SimTech), University of Stuttgart, 70569 Stuttgart, Germany |
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| Abstract: | 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) |
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