Pattern Recognition of Electromyography Signals Based on Novel Time Domain Features for Amputees’ Limb Motion Classification
文献类型：期刊论文
| 作者 | Oluwarotimi Williams Samuel; Hui Zhou; Xiangxin Li; Hui Wang; Haoshi Zhang; Arun Kumar Sangaiah; Guanglin Li |
| 刊名 | Computers & Electrical Engineering
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/11941]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | Computers & Electrical Engineering |
| 推荐引用方式 GB/T 7714 | Oluwarotimi Williams Samuel,Hui Zhou,Xiangxin Li,et al. Pattern Recognition of Electromyography Signals Based on Novel Time Domain Features for Amputees’ Limb Motion Classification[J]. Computers & Electrical Engineering,2017. |
| APA | Oluwarotimi Williams Samuel.,Hui Zhou.,Xiangxin Li.,Hui Wang.,Haoshi Zhang.,...&Guanglin Li.(2017).Pattern Recognition of Electromyography Signals Based on Novel Time Domain Features for Amputees’ Limb Motion Classification.Computers & Electrical Engineering. |
| MLA | Oluwarotimi Williams Samuel,et al."Pattern Recognition of Electromyography Signals Based on Novel Time Domain Features for Amputees’ Limb Motion Classification".Computers & Electrical Engineering (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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