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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Myers, L.J. O'Malley, M. |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Electron. & Electr. Eng., Univ. Coll. Dublin, Ireland (Myers, L.J.; O'Malley, M.) |
| Abstract | Rectification of the electromyographic (EMG) signal is a commonly used pre-processing procedure that allows detection of significant coherence between EMG and measured cortical signals. It has been demonstrated that rectification enhances mean group firing rates. This paper develops an efficient algorithm that may be used to extract these relevant frequencies. This method assumes the EMG to be a realization of a randomly distributed stationary process. Therefore the 'true' power spectrum of this process will not contain specific timing information. However the power spectrum of the actual rectified EMG does contain timing information which is detectable at frequencies where it exceeds the analytic power spectrum. Coherence of measured electroencephalographic (EEG) signals and rectified EMG show that significant coherence peaks occur at the same frequencies obtained using the algorithm. Cortical drive appears to synchronize motor unit firings to particular frequencies that may be extracted from the rectified EMG alone. These frequencies are not easily obtained from either the EEG or the non-rectified EMG. |
| Starting Page | 289 |
| Ending Page | 292 |
| File Size | 393352 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780375793 |
| DOI | 10.1109/CNE.2003.1196817 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-03-20 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humans Electric variables measurement Frequency Synchronous motors Educational institutions Electromyography Electroencephalography Timing Autocorrelation Data mining |
| Content Type | Text |
| Resource Type | Article |
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