title: Clinical detection and movement recognition of neuro signals.
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.
authors.affiliation: Department of Automation, Shanghai Jiaotong University, Shanghai 200030, China. xwzhang@sjtu.edu.cn
authors.forename: Xiao-wen
authors.initials: XW
authors.lastname: Zhang
authors.forename: Yu-pu
authors.initials: YP
authors.lastname: Yang
authors.forename: Xiao-ming
authors.initials: XM
authors.lastname: Xu
authors.forename: Tian-pei
authors.initials: TP
authors.lastname: Hu
authors.forename: Zhong-hua
authors.initials: ZH
authors.lastname: Gao
authors.forename: Jian
authors.initials: J
authors.lastname: Zhang
authors.forename: Tong-yi
authors.initials: TY
authors.lastname: Chen
authors.forename: Zhong-wei
authors.initials: ZW
authors.lastname: Chen
mesh_terms: D000671:Amputation, Surgical; D000674:Amputees; D001186:Artificial Limbs; D004566:Electrodes; D006801:Humans; D009068:Movement / Q000502:physiology*; D009132:Muscles / Q000294:innervation* / Q000502:physiology*; D009474:Neurons / Q000502:physiology*