Using a Cocontraction Ratio to Predict Antagonistic Behavior During Elbow Motion

Charles Pontonnier 1, 2 Georges Dumont 2
2 VR4I - Virtual Reality for Improved Innovative Immersive Interaction
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
Abstract : Inverse dynamics methods for muscle forces prediction are globally unable to predict antagonistic activity during a joint motion. This is due to a lack of physiological information describing how forces are shared between flexors and extensors. The aim of this study is the definition and the use of a new EMG-based cocontraction ratio in an inverse dynamics muscle forces prediction approach applied to the elbow flexion motion. Results show the relevance of the ratio.
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https://hal.inria.fr/hal-00640207
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Submitted on : Friday, December 14, 2012 - 11:28:20 AM
Last modification on : Wednesday, March 20, 2019 - 5:30:06 PM
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  • HAL Id : hal-00640207, version 1
  • ARXIV : 1212.3453

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Charles Pontonnier, Georges Dumont. Using a Cocontraction Ratio to Predict Antagonistic Behavior During Elbow Motion. International Society of Biomechanics 2011 Congress, Jul 2011, Brussels, Belgium. ⟨hal-00640207⟩

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