Towards reducing the impacts of unwanted movements on identification of motion intentions
文献类型：期刊论文
| 作者 | Li, Xiangxin; Chen, Shixiong; Zhang, Haoshi; Samuel, Oluwarotimi Williams; Wang, Hui; Fang, Peng; Zhang, Xiufeng; Li, Guanglin |
| 刊名 | JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
 |
| 出版日期 | 2016 |
| 英文摘要 | Surface electromyogram (sEMG) has been extensively used as a control signal in prosthesis devices. However, it is still a great challenge to make multifunctional myoelectric prostheses clinically available due to a number of critical issues associated with existing EMG based control strategy. One such issue would be the effect of unwanted movements (UMs) that are inadvertently done by users on the performance ofmovement classification in EMG pattern recognition based algorithms. Since UMs are not considered in training a classifier, they would decay the performance of a trained classifier in identifying the targetmovements (TMs), which would cause some undesired actions in control of multifunctional prostheses. In this study, the impact of UMs was systemically investigated in both able-bodied subjects and transradial amputees. Our results showed that the UMs would be unevenly classified into all classes of the TMs. To reduce the impact of the UMs on the performance of a classifier, a new training strategy that would categorize all possible UMs into a new movement class was proposed and a metric called Reject Ratio that is a measure of how many UMs is rejected by a trained classifier was adopted. The results showed that theaverage Reject Ratio across all the participants was greater than 91%, meanwhile the average classification accuracy of TMs was above 99% when UMs occurred. This suggests that the proposed training strategy could greatly reduce the impact of UMs on the performance of the trained classifier in identifying the TMs and may enhance the robustness of myoelectric control in clinical applications. |
| 收录类别 | SCI |
| 原文出处 | http://www.sciencedirect.com/science/article/pii/S1050641116300189 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10360]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY |
| 推荐引用方式 GB/T 7714 | Li, Xiangxin,Chen, Shixiong,Zhang, Haoshi,et al. Towards reducing the impacts of unwanted movements on identification of motion intentions[J]. JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY,2016. |
| APA | Li, Xiangxin.,Chen, Shixiong.,Zhang, Haoshi.,Samuel, Oluwarotimi Williams.,Wang, Hui.,...&Li, Guanglin.(2016).Towards reducing the impacts of unwanted movements on identification of motion intentions.JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY. |
| MLA | Li, Xiangxin,et al."Towards reducing the impacts of unwanted movements on identification of motion intentions".JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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