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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Farina, D. Cescon, C. |
| Copyright Year | 1964 |
| Abstract | New recording techniques for detecting surface electromyographic (EMG) signals based on concentric-ring electrodes are proposed in this paper. A theoretical study of the two-dimensional (2-D) spatial transfer function of these recording systems is developed both in case of rings with a physical dimension and in case of line rings. Design criteria for the proposed systems are presented in relation to spatial selectivity. It is shown that, given the radii of the rings, the weights of the spatial filter can be selected in order to improve the rejection of low spatial frequencies, thus increasing spatial selectivity. The theoretical transfer functions of concentric systems are obtained and compared with those of other detection systems. Signals detected with the ring electrodes and with traditional one-dimensional and 2-D systems are compared. The concentric-ring systems show higher spatial selectivity with respect to the traditional detection systems and reduce the problem of electrode location since they are invariant to rotations. The results shown are very promising for the noninvasive detection of single motor unit (MU) activities and decomposition of the surface EMG signal into the constituent MU action potential trains. |
| Sponsorship | IEEE Engineering in Medicine and Biology Society |
| Page Count | 9 |
| File Size | 224072 |
| Starting Page | 1326 |
| Ending Page | 1334 |
| File Format | |
| ISSN | 00189294 |
| Volume Number | 48 |
| Issue Number | 11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrodes Electromyography Muscles Spatial filters Two dimensional displays Transfer functions Disk recording Filtering Frequency Signal detection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering |
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