HD-sEMG-based research on activation heterogeneity of skeletal muscles and the joint force estimation during elbow flexion

Journal of Neural Engineering
Cong ZhangXun Chen

Abstract

To investigate the activation heterogeneity of skeletal muscles and realize the joint force estimation during the elbow flexion task. When an isometric elbow flexion task was performed, high-density surface electromyography (HD-sEMG) signals from a [Formula: see text] grid covering the front and inside of the upper arm and the generated joint force were recorded synchronously. HD-sEMG signals were preprocessed and then decomposed into source signals corresponding to biceps brachhi (BB) and brachialis (BR) and their contribution vectors using a fast, independent component analysis (FastICA) algorithm. The activation heterogeneity of BB and BR was investigated from the activation level and activation region, initially. Then, the contribution combinations of two sources were classified into several major clusters using the K-means clustering method. Afterwards, input signals for force estimation were extracted from the major clusters corresponding to different combinations, and the polynomial fitting technique was adopted as the force estimation model. Finally, the force estimation results were obtained and the analysis around the force estimation performance using different input signals was conducted. Ten subjects were recruited...Continue Reading

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