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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
D. Farina, L. Mesin, S. Martina, R. Merletti (2004) A surface EMG generation model with multilayer cylindrical description of the volume conductor, IEEE Transactions on BioMedical Engineering, 51 (3): 415–426
D. Farina, C. Cescon, R. Merletti (2002) Influence of anatomical, physical, and detection-system parameters on surface EMG, Biological Cybernetics, 86:445-456
T. Heidlauf, O. Röhrle (2013) Modeling of Chemoelectromechanical behvaior of skeletal muscle using the parallel open-source software library OpenCMISS, Computational and Mathematical Methods in Medicine
R. Merletti, P. A. Parker, Electromyography: Physiology, Engineering, and Non-Invasive Applications, 2004
E. Clancy and N. Hogan (1999) Probability density of the surface electromyogram and its relation to amplitude detectors, IEEE Transactions on Biomedical Engineering, 46 (6): 730–739
F. Ayachi, S. Boudaoud, J. Grosset, and C. Marque (2011) Study of the muscular force/hos parameters relationship from the surface eletromyogram, in 15th NBC on Biomedical Engineering & Medical Physics, Aalborg, Denmark, vol. 34, 2011, pp 187–190
M. D. Morris (1991) Factorial sampling plans for preliminary computational experiments, Technometrics, 33 (2): 161-174
J. Laforet, C. Marque (2013) Preliminary global sensitivity analysis of a uterine electrical activity model, in 35th Annual International Conference of the IEEE EMBC, Osaka, Japan, 2013, pp 7440-7443
F. S. Ayachi, S. Boudaoud, C. Marque (2014) Evaluation of muscle force classification using shape analysis of the sEMG probability density function: a simulation study, Medical & Biological Engineering & Computing, 52 (8): 673–684
T. I. Arabadzhiev, V. G. Dimitrov, N. A. Dimitrova, G. V. Dimitrov (2010) Influence of motor unit synchronization on amplitude characteristics of surface and intramuscularly recorded EMG signals, European Journal of Applied Physiology, 108 (2): 227–237
A. Saltelli, F. Campolongo, J. Cariboni (2009) Screening important inputs in models with strong interaction properties, Reliability Engineering and System Safety, 94: 1149-1155
M. Al Harrach, S. Boudaoud, D. Gamet, J. F. Grosset, F. Marin (2014) Evaluation of HD-sEMG Probability Density Function Deformations in Ramp Exercise, in 36th Annual International Conference of the IEEE EMBC, Chicago, USA, 2014, pp 2209-2212
S. Boudaoud, S. Allouch, M. Al Harrach, F. Marin (2015) On the benefits of using HD-sEMG technique for estimating muscle force, Computer Methods in Biomechanics and Biomedical Engineering, 18: 1890-1891.
E. M. Maathuis, J. Drenthen, J. P. van Dijk, G. H. Visser, J. H. Blok (2011) Motor unit tracking with high-density surface EMG, Journal of Electromyography and Kinesiology, 18: 920-930.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-32703-7_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32701-3
Online ISBN: 978-3-319-32703-7
eBook Packages: EngineeringEngineering (R0)