Using a Cocontraction Ratio to Predict Antagonistic Behavior During Elbow Motion

TL;DR

This paper introduces an EMG-based cocontraction ratio to improve the prediction of antagonistic muscle activity during elbow motion, addressing a key limitation of inverse dynamics methods.

Contribution

It proposes a novel cocontraction ratio derived from EMG data to enhance muscle force predictions in inverse dynamics models.

Findings

The ratio improves prediction accuracy of antagonistic muscle activity.

The approach demonstrates relevance in elbow flexion motion.

Results validate the use of EMG-based cocontraction ratio.

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.