期刊
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
卷 3, 期 2, 页码 175-180出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2007.11.005
关键词
EMG; Myoelectric control; Pattern recognitiom; Powered prostheses; MES
资金
- NSERC Discovery Grants [171368-03, 217354-01]
- New Brunswick Foundation for Innovation
- Atlantic Innovation Fund
Pattern recognition based myoclectric control systems rely on detecting repeatable patterns at given electrode locations. This work describes an experiment to determine the effect of electrode displacements on pattern classification accuracy, and a classifier training strategy to accommodate this degradation. The results show that electrode displacements adversely affect classification accuracy, but training the system to recognize plausible displacement locations mitigates the effect. Furthermore, a combination of time-domain and autoregressive features appears to yield the best classification accuracy and is least affected by electrode displacements. (C) 2007 Elsevier Ltd. All fights reserved.
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