Characterization of surface electromyography using time domain features for determining hand motion and stages of contraction

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...

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Bibliographic Details
Main Authors: Ahmad Nadzri, Ahmad Akmal, Ahmad, Siti Anom, Marhaban, Mohammad Hamiruce, Jaafar, Haslina
Format: Article
Language:English
Published: Springer 2014
Online Access: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
http://psasir.upm.edu.my/id/eprint/36763/
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Institution: Universiti Putra Malaysia
Language: English

Internet

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
http://psasir.upm.edu.my/id/eprint/36763/

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