- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Feature Extraction in Electromyography by Digital Signal Processing Techniques | ||
| Journal of Engineering | ||
| Article 1, Volume 11, Issue 1, 2005, Pages 193-202 | ||
| Author | ||
| Ahmed Ali Sadik | ||
| Abstract | ||
| Myoelectric signals are the electrical manifestation associated with the movements exerted by the muscular system in the mamal beings (including the human). Examination of these signals should reveal the Status of the muscles as well as the driving nervous system. This is important in diagnosis as well as prosthesis for the health of mankind and aids for handicaped. This would not be possible unless powerful digital processing techniques are available. In this paper, several techniques are investigated so as to extract the features of the ME signals both in time and frequency domains. The extracted features are subsequently employed in an automatic diagnostic classification system to decide whether or not they correspond to a normal muscle. | ||
| Keywords | ||
| Application of digital signal processing in biomedical Engineering | ||
|
Statistics Article View: 183 PDF Download: 124 |
||