Simulation and Classification of the efferent activity in brachial nerves | |
Rui Zhou; Ning Jiang; Kevin B. Englehart; Philip A. Parker | |
2009 | |
会议名称 | 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 |
英文摘要 | A computational model linking stochastic neural innervation processes and functional neuromuscular excitation is developed to investigate peripheral nerve interface based limb prostheses. A means of classifying the virtual nerve data is presented by using both a time domain feature set and a spike detection algorithm. Some intrinsic parameters in recording and classification, such as brachial fiber activation, analysis window length and feature selection, are discussed to achieve good neural signal recognition. Recommendations for optimal performance are made, with regard to information content and window length. |
收录类别 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/2592] |
专题 | 深圳先进技术研究院_医工所 |
作者单位 | 2009 |
推荐引用方式 GB/T 7714 | Rui Zhou,Ning Jiang,Kevin B. Englehart,et al. Simulation and Classification of the efferent activity in brachial nerves[C]. 见:31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. |
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