Limitations of surface EMG signals of extrinsic muscles in predicting postures of human hand.
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.
Vinjamuri
Ramana
R
Department of Electrical & Computer Engineering, University of Pittsburgh, PA, USA.
Mao
Zhi-Hong
ZH
Sclabassi
Robert
R
Sun
Mingui
M
D001696:Biomechanical Phenomena / Q000379:methods*; D001698:Biomedical Engineering / Q000379:methods; D004576:Electromyography / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design; D006225:Hand / Q000033:anatomy & histology*; D018737:Hand Strength; D006801:Humans; D015233:Models, Statistical; D009068:Movement; D009119:Muscle Contraction; D009132:Muscles / Q000473:pathology*; D011187:Posture; D012026:Reflex, Stretch; D012813:Sign Language