期刊
JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT
卷 48, 期 6, 页码 643-659出版社
JOURNAL REHAB RES & DEV
DOI: 10.1682/JRRD.2010.09.0177
关键词
amputee; electromyogram; EMG; linear discriminant analysis; myoelectric control; pattern recognition; prosthetics; rehabilitation; signal processing; upper limb
资金
- Natural Sciences and Engineering Research Council of Canada [217354-10]
- National Institutes of Health [5R01HD058000-03]
- Atlantic Innovation Fund
- EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [R01HD058000] Funding Source: NIH RePORTER
Using electromyogram (EMG) signals to control upper-limb prostheses is an important clinical option, offering a person with amputation autonomy of control by contracting residual muscles. The dexterity with which one may control a prosthesis has progressed very little, especially when controlling multiple degrees of freedom. Using pattern recognition to discriminate multiple degrees of freedom has shown great promise in the research literature, but it has yet to transition to a clinically viable option. This article describes the pertinent issues and best practices in EMG pattern recognition, identifies the major challenges in deploying robust control, and advocates research directions that may have an effect in the near future.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据