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Sensitivity Analysis of HD-sEMG Amplitude Descriptors Relative to Grid Parameter Variation

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XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016

Part of the book series: IFMBE Proceedings ((IFMBE,volume 57))

Abstract

The aim of this work is to perform a sensitivity analysis of a high density surface electromyogram (HD-sEMG) amplitude descriptors according to several grid parameters. For this purpose, an analytical limb model is used, where the upper limb is modeled as a multilayered cylinder with three layers: muscle, fat tissue and skin tissue. Using this model, HD- sEMG signals are computed over the skin as a 2D surface along angular and longitudinal directions. Electrode recording is performed through a surface integration on the 2D surface according to the electrode shape. 3 simulations with the same anatomy (350 Motor Units) were computed for 3 constant contraction levels: 30%, 50% and 70% of the Maximal Voluntary Contraction (MVC). Then, a global sensitivity analysis using Morris formalism is performed to explore the sensitivity of amplitude descriptors (ARV, RMS and HOS) relative to vary parameters from the electrode grid (inter-electrode distances, electrodes radius, position and rotation). The obtained results clearly exposed a huge impact of the grid rotation on the studied criteria. They also showed that parameters specific to the electrode grid layout (inter-electrode distances) have the less impact.

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Correspondence to Vincent Carriou .

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© 2016 Springer International Publishing Switzerland

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Carriou, V., Al Harrach, M., Laforet, J., Boudaoud, S. (2016). Sensitivity Analysis of HD-sEMG Amplitude Descriptors Relative to Grid Parameter Variation. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_25

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  • DOI: https://doi.org/10.1007/978-3-319-32703-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32701-3

  • Online ISBN: 978-3-319-32703-7

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