Journal of Zhejiang University SCIENCE
(ISSN 1009-3095, Monthly)

2005   Vol. 6B   No. 4   p.272-279

Clinical detection and movement recognition of neuro signals

ZHANG Xiao-wen^*1, YANG Yu-pu¹, XU Xiao-ming¹, HU Tian-pei¹, GAO Zhong-hua¹, ZHANG Jian², CHEN Tong-yi², CHEN Zhong-wei²

(¹Department of Automation, Shanghai Jiaotong University, Shanghai 200030, China)
(²Zhongshan Hospital, Medical Center, Fudan University, Shanghai 200032, China)
^*E-mail: xwzhang@sjtu.edu.cn
Received May 19, 2004; revision accepted Aug. 30, 2004

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.

Key words: Neuro signal, Intrafascicular electrode detection, Movement recognition
doi:10.1631/jzus.2005.B0272             CLC number: R318.1