@inproceedings{c7780f69ead746bfa9dd815ce40237fe,
title = "A virtual sEMG prosthetic hand development system based on LabVIEW and PCI-1710HG A/D card",
abstract = "This paper introduces a virtual sEMG prosthetic hand development system based on LabVIEW. The system is aimed at finding proper method to correctly and promptly discriminate hand motions via sEMG. Waveform Length has been proved effective as extracted feature in this paper due to its high performance and short computing time. A back-propagation Neural Networks(BP Networks) is chosen as classifier in order to train the system automatically. The result shows that the performance of the whole system is successful when discriminating the following four hand motions: flexion and extension of the wrist, open and grasp of hand.",
keywords = "BP networks, LabVIEW, Prosthetic hand, Waveform length, sEMG",
author = "Zhiyong Wu and Haijun Niu and Deyu Li and Fang Pu and Yubo Fan",
year = "2010",
doi = "10.1109/BMEI.2010.5640048",
language = "英语",
isbn = "9781424464968",
series = "Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010",
pages = "1743--1745",
booktitle = "Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010",
note = "3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 ; Conference date: 16-10-2010 Through 18-10-2010",
}