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CLC number: R318.1

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Received: 2004-05-19

Revision Accepted: 2004-08-30

Crosschecked: 0000-00-00

Cited: 2

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Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE B 2005 Vol.6 No.4 P.272~279

http://doi.org/10.1631/jzus.2005.B0272


Clinical detection and movement recognition of neuro signals


Author(s):  ZHANG Xiao-wen, YANG Yu-pu, XU Xiao-ming, HU Tian-pei, GAO Zhong-hua, ZHANG Jian, CHEN Tong-yi, CHEN Zhong-wei

Affiliation(s):  Department of Automation, Shanghai Jiaotong University, Shanghai 200030, China; more

Corresponding email(s):   xwzhang@sjtu.edu.cn

Key Words:  Neuro signal, Intrafascicular electrode detection, Movement recognition


ZHANG Xiao-wen, YANG Yu-pu, XU Xiao-ming, HU Tian-pei, GAO Zhong-hua, ZHANG Jian, CHEN Tong-yi, CHEN Zhong-wei. Clinical detection and movement recognition of neuro signals[J]. Journal of Zhejiang University Science B, 2005, 6(4): 272~279.

@article{title="Clinical detection and movement recognition of neuro signals",
author="ZHANG Xiao-wen, YANG Yu-pu, XU Xiao-ming, HU Tian-pei, GAO Zhong-hua, ZHANG Jian, CHEN Tong-yi, CHEN Zhong-wei",
journal="Journal of Zhejiang University Science B",
volume="6",
number="4",
pages="272~279",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.B0272"
}

%0 Journal Article
%T Clinical detection and movement recognition of neuro signals
%A ZHANG Xiao-wen
%A YANG Yu-pu
%A XU Xiao-ming
%A HU Tian-pei
%A GAO Zhong-hua
%A ZHANG Jian
%A CHEN Tong-yi
%A CHEN Zhong-wei
%J Journal of Zhejiang University SCIENCE B
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%N 4
%P 272~279
%@ 1673-1581
%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.B0272

TY - JOUR
T1 - Clinical detection and movement recognition of neuro signals
A1 - ZHANG Xiao-wen
A1 - YANG Yu-pu
A1 - XU Xiao-ming
A1 - HU Tian-pei
A1 - GAO Zhong-hua
A1 - ZHANG Jian
A1 - CHEN Tong-yi
A1 - CHEN Zhong-wei
J0 - Journal of Zhejiang University Science B
VL - 6
IS - 4
SP - 272
EP - 279
%@ 1673-1581
Y1 - 2005
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2005.B0272


Abstract: 
neuro signal has many more advantages than myoelectricity in providing information for prosthesis control, and can be an ideal source for developing new prosthesis. In this work, by implanting intrafascicular electrode clinically in the amputee’s upper extremity, collective signals from fascicules of three main nerves (radial nerve, ulnar nerve and medium nerve) were successfully detected with sufficient fidelity and without infection. Initial analysis of features under different actions was performed and movement recognition of detected samples was attempted. Singular value decomposition features (SVD) extracted from wavelet coefficients were used as inputs for neural network classifier to predict amputee’s movement intentions. The whole training rate was up to 80.94% and the test rate was 56.87% without over-training. This result gives inspiring prospect that collective signals from fascicules of the three main nerves are feasible sources for controlling prosthesis. Ways for improving accuracy in developing prosthesis controlled by neuro signals are discussed in the end.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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