Characterization of surface electromyography using time domain features for determining hand motion and stages of contraction
Surface electromyography (SEMG) signals can provide important information for prosthetic hand control application. In this study, time domain (TD) features were used in extracting information from the SEMG signal in determining hand motions and stages of contraction (start, middle and end). Data wer...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/36763/ http://psasir.upm.edu.my/id/eprint/36763/1/Characterization%20of%20surface%20electromyography%20using%20time%20domain%20features%20for%20determining%20hand%20motion%20and%20stages%20of%20contraction.pdf |