Speedup computation of HD-sEMG signals using a motor unit-specific electrical source model.
Nowadays, bio-reliable modeling of muscle contraction is becoming more accurate and complex. This increasing complexity induces a significant increase in computation time which prevents the possibility of using this model in certain applications and studies. Accordingly, the aim of this work is to s...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 8; pp. 1459 - 1474 |
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| Autores principales: | , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=130773121&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 130773121 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2018 vid: 56 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 130773121 130773121 NLM29359257 130773121 10.1007/s11517-018-1784-5 NLM29359257 130773121 ppf: 1459 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Speedup computation of HD-sEMG signals using a motor unit-specific electrical source model. aug: au: Carriou, Vincent Boudaoud, Sofiane Laforet, Jeremy affil: CNRS UMR 7338 Biomechanics and Bioengineering, Centre de Recherche de Royallieu, Sorbonne University, Universite de Technologie de Compiegne, CS 60203, Compiegne, France sug: subj: Motor Neurons Physiology Signal Processing, Computer Assisted Electricity Models, Biological Electromyography Time Factors Action Potentials Physiology Computer Simulation Human ab: Nowadays, bio-reliable modeling of muscle contraction is becoming more accurate and complex. This increasing complexity induces a significant increase in computation time which prevents the possibility of using this model in certain applications and studies. Accordingly, the aim of this work is to significantly reduce the computation time of high-density surface electromyogram (HD-sEMG) generation. This will be done through a new model of motor unit (MU)-specific electrical source based on the fibers composing the MU. In order to assess the efficiency of this approach, we computed the normalized root mean square error (NRMSE) between several simulations on single generated MU action potential (MUAP) using the usual fiber electrical sources and the MU-specific electrical source. This NRMSE was computed for five different simulation sets wherein hundreds of MUAPs are generated and summed into HD-sEMG signals. The obtained results display less than 2% error on the generated signals compared to the same signals generated with fiber electrical sources. Moreover, the computation time of the HD-sEMG signal generation model is reduced to about 90% compared to the fiber electrical source model. Using this model with MU electrical sources, we can simulate HD-sEMG signals of a physiological muscle (hundreds of MU) in less than an hour on a classical workstation. Graphical Abstract Overview of the simulation of HD-sEMG signals using the fiber scale and the MU scale. Upscaling the electrical source to the MU scale reduces the computation time by 90% inducing only small deviation of the same simulated HD-sEMG signals. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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