Limitations of surface EMG signals of extrinsic muscles in predicting postures of human hand

Ramana Vinjamuri; Zhi-Hong Mao; Robert Sclabassi; Mingui Sun

doi:10.1109/IEMBS.2006.260329

Limitations of surface EMG signals of extrinsic muscles in predicting postures of human hand

Conf Proc IEEE Eng Med Biol Soc. 2006:2006:5491-4. doi: 10.1109/IEMBS.2006.260329.

Authors

Ramana Vinjamuri¹, Zhi-Hong Mao, Robert Sclabassi, Mingui Sun

Affiliation

¹ Department of Electrical & Computer Engineering, University of Pittsburgh, PA, USA.

PMID: 17945903
DOI: 10.1109/IEMBS.2006.260329

Abstract

This paper explores the limitations of sEMG (surface Electromyography) signals collected from the extrinsic muscles in the forearm in predicting the postures of human hand. Four subjects were asked to try ten extreme postures of hand which need high effort. Two of these four subjects were asked to try ten more normal postures which did not need effort During the experiments, muscle activity and static postures of the hand were measured. The data obtained were analyzed by principal component analysis. The results obtained revealed the limitations of sEMG signals of extrinsic muscles in reproducing the postures of the hand.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biomechanical Phenomena / methods*
Biomedical Engineering / methods
Electromyography / instrumentation*
Electromyography / methods
Equipment Design
Hand / anatomy & histology*
Hand Strength
Humans
Models, Statistical
Movement
Muscle Contraction*
Muscles / pathology*
Posture
Reflex, Stretch
Sign Language