Effect of upper-limb positions on motion pattern recognition using electromyography
文献类型：会议论文
| 作者 | Liang Chen; Yanjuan Geng; Guanglin Li |
| 出版日期 | 2011 |
| 会议名称 | 4th International Congress on Image and Signal Processing, CISP 2011 |
| 会议地点 | Shanghai, China |
| 英文摘要 | Previous studies of electromyographic (EMG) pattern recognition for neural prosthesis control mainly focused on the estimation of offline classification accuracy. Factors that may affect the performance in operating prosthesis in practice were rarely considered. In the preliminary study we investigated effects of the variation of limb positions on classification performance. Eight channels of myoelectric signals and a LDA classifier were used to identify seven classes of forearm movements in five transradial amputees. Our pilot results showed that the classification error of inter-position was about 4 times more than that of single position across the five transradial amputees (p<0.02), indicating the significant effect of limb position variation on classification performance. We further attempted to reduce the limb position effect by training the classifier with EMG from multiple EMG recording positions, and the classification performance was compared with that of single position training. It was found multiple positions training method could decrease the classification error as more positions involved, which reached its minimum value 11.25% when all five positions were included. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3527]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Liang Chen,Yanjuan Geng,Guanglin Li. Effect of upper-limb positions on motion pattern recognition using electromyography[C]. 见:4th International Congress on Image and Signal Processing, CISP 2011. Shanghai, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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