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Surface EMG-force modelling for the biceps brachii and its experimental evaluation during isometric isotonic contractions

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  • Hua Cao
  • Sofiane Boudaoud
  • Frédéric Marin
  • Catherine Marque

Abstract

The aim of this study was to evaluate a surface electromyography (sEMG) signal and force model for the biceps brachii muscle during isotonic isometric contractions for an experimental set-up as well as for a simulation. The proposed model includes a new rate coding scheme and a new analytical formulation of the muscle force generation. The proposed rate coding scheme supposes varying minimum and peak firing frequencies according to motor unit (MU) type (I or II). Practically, the proposed analytical mechanogram allows us to tune the force contribution of each active MU according to its type and instantaneous firing rate. A subsequent sensitivity analysis using a Monte Carlo simulation allows deducing optimised input parameter ranges that guarantee a realistic behaviour of the proposed model according to two existing criteria and an additional one. In fact, this proposed new criterion evaluates the force generation efficiency according to neural intent. Experiments and simulations, at varying force levels and using the optimised parameter ranges, were performed to evaluate the proposed model. As a result, our study showed that the proposed sEMG–force modelling can emulate the biceps brachii behaviour during isotonic isometric contractions.

Suggested Citation

  • Hua Cao & Sofiane Boudaoud & Frédéric Marin & Catherine Marque, 2015. "Surface EMG-force modelling for the biceps brachii and its experimental evaluation during isometric isotonic contractions," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 18(9), pages 1014-1023, July.
    • Handle: RePEc:taf:gcmbxx:v:18:y:2015:i:9:p:1014-1023
    DOI: 10.1080/10255842.2013.867952
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    1. H. Cao & F. Marin & S. Boudaoud & C. Marque, 2008. "Muscle force simulation by using two motor-unit recruitment strategies," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 11(S1), pages 51-52.
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