Classification of ankle joint movements based on surface electromyography signals for rehabilitation robot applications
Electromyography (EMG)-based control is the core of prostheses, orthoses, and other rehabilitation devices in recent research. Nonetheless, EMG is difficult to use as a control signal given the complex nature of the signal. To overcome this problem, the researchers employed a pattern recognition tec...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2017
|
Online Access: | http://psasir.upm.edu.my/id/eprint/44064/1/Classification%20of%20ankle%20joint%20movements%20based%20on%20surface%20electromyography%20signals%20for%20rehabilitation%20robot%20applications.pdf http://psasir.upm.edu.my/id/eprint/44064/ https://link.springer.com/article/10.1007%2Fs11517-016-1551-4 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Putra Malaysia |
Language: | English |
Internet
http://psasir.upm.edu.my/id/eprint/44064/1/Classification%20of%20ankle%20joint%20movements%20based%20on%20surface%20electromyography%20signals%20for%20rehabilitation%20robot%20applications.pdfhttp://psasir.upm.edu.my/id/eprint/44064/
https://link.springer.com/article/10.1007%2Fs11517-016-1551-4