Electromyography (EMG);
active prosthesis control;
muscle contraction monitoring;
Force Sensitive Resistor (FSR) sensor;
FSR vs EMG comparison;
HUMAN SKELETAL-MUSCLE;
ELECTROMECHANICAL DELAY;
EMG;
D O I:
10.1109/memea49120.2020.9137313
中图分类号:
R318 [生物医学工程];
学科分类号:
0831 ;
摘要:
Active hand prostheses are usually controlled by electromyography (EMG) signals acquired from few muscles available in the residual limb. In general, it is necessary to estimate the envelope of the EMG in real-time to implement the control of the prosthesis. Recently, sensors based on Force Sensitive Resistor (FSR) proved to be a valid alternative to monitor muscle contraction. However, FSR-based sensors measure the mechanical phenomena related to muscle contraction rather than those electrical. The aim of this study is to test the difference between the EMG and force signal in controlling a prosthetic hand. Particular emphasis has been placed on verify the prosthesis activation speed and their application to fast grabbing hand prosthesis as the "Federica" hand. Indeed, there is an intrinsic electro-mechanical delay during muscle contraction, since the electrical activation of muscle fibres always precedes their mechanical contraction. However, the EMG signal needs to be processed to control prosthesis and such filtering unavoidably causes a delay. On the contrary the force signal doesn't need any processing. Both EMG and force signals were simultaneously recorded from the flexor carpi ulnaris muscle, while subject performed wrist flexions. The raw EMG signals were rectified and low-pass filtered to extract their envelopes. Different widespread operators were used: Moving Average, Root Mean Square, Butterworth low-pass; the cut-off frequency was set to 5 Hz. Afterward, a classic double threshold method was used to compute the muscle contraction onsets (i.e. the signal should exceed a threshold level for a certain time period). Results showed that the lag introduced by the low-pass filtering of the rectified EMG, generates delays greater than those associated with the force sensor. This analysis confirms the possibility of using force sensors as a convenient alternative to EMG signals in the control of prostheses.
机构:
Naruto Univ Educ, Fac Hlth & Living Sci, Dept Human Motor Control, Naruto 7728502, JapanNaruto Univ Educ, Fac Hlth & Living Sci, Dept Human Motor Control, Naruto 7728502, Japan
Inui, N
Ichihara, T
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机构:Naruto Univ Educ, Fac Hlth & Living Sci, Dept Human Motor Control, Naruto 7728502, Japan
机构:
Korea Univ, Grad Sch, Dept Hlth Sci, Seoul 136703, South KoreaKorea Univ, Grad Sch, Dept Hlth Sci, Seoul 136703, South Korea
Kim, Chang-Yong
Choi, Jong-Duk
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机构:
Daejeon Univ, Coll Nat Sci, Dept Phys Therapy, Taejon 300716, South KoreaKorea Univ, Grad Sch, Dept Hlth Sci, Seoul 136703, South Korea
Choi, Jong-Duk
Kim, Suhn-Yeop
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机构:
Daejeon Univ, Coll Nat Sci, Dept Phys Therapy, Taejon 300716, South KoreaKorea Univ, Grad Sch, Dept Hlth Sci, Seoul 136703, South Korea
Kim, Suhn-Yeop
Oh, Duck-Won
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机构:
Cheongju Univ, Coll Hlth Sci, Dept Phys Therapy, Cheongju 360764, Chungbuk, South KoreaKorea Univ, Grad Sch, Dept Hlth Sci, Seoul 136703, South Korea
Oh, Duck-Won
Kim, Jin-Kyung
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机构:
Hanseo Univ, Dept Occupat Therapy, Seosan 356705, Chungcheongnam, South KoreaKorea Univ, Grad Sch, Dept Hlth Sci, Seoul 136703, South Korea
Kim, Jin-Kyung
Park, Ji-Whan
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机构:
Daejeon Hlth & Sci Coll, Dept Phys Therapy, Taejon 300711, South KoreaKorea Univ, Grad Sch, Dept Hlth Sci, Seoul 136703, South Korea