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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Raoof, Kosai Novakov, Emil Gumery, Pierre-Yves Quezel, Georges |
| Copyright Year | 1992 |
| Description | Author affiliation: Invited from the Institute of Biomedical Engineering of the Medical Academy of Sofia, Bulgaria (Novakov, Emil) || Laboratoire d'Instrumentation Micro-informatique et Electronique (LIME), Université Joseph FOURIER, B.P. 53X, 38041 Grenoble Cedex, France (Raoof, Kosai; Gumery, Pierre-Yves; Quezel, Georges) |
| Abstract | The estimation and detection of surface EMG signals provides us with more detailed information on the functional state of a muscle, when measurement applied with smaller pickup areas. In fact the signal to noise ratio (SNR) of the observed EMG activity is proportional to the area of the pickup electrodes, and depends on the type of the muscle. The activity of small muscles is more difficult to sensed with small electrodes, that is why large surface electrodes are used, and in this case more physiological information lost. The estimation and detection of these signals can aid in the diagnosis of many pathological conditions after extracting some physiological parameters (e.g. median frequency). The relevance of these parameters estimated from the surface EMG signals, depends largely on the SNR. Our method is to use an array of small surface electrodes to capture the surface EMG activity. Two processing techniques based on the orthogonal projection principle were employed to enhance the SNR, one of them can be applied in real time processing. |
| Starting Page | 2606 |
| Ending Page | 2608 |
| File Size | 207400 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780307852 |
| DOI | 10.1109/IEMBS.1992.5761610 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-10-29 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Arrays Adaptation model Muscles Biological system modeling Area measurement Electromyography |
| Content Type | Text |
| Resource Type | Article |
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