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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shah, S.S. Peng-Wie Hsia Damiano Jr., R.J. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Biomed. Eng., Med. Coll. of Virginia, Richmond, VA, USA (Shah, S.S.; Peng-Wie Hsia) |
| Abstract | A new technique to characterize the organization of electrical activity in the myocardial muscles is presented. It employs magnitude-squared coherence (MSC) spectrums between unipolar electrograms recorded from the epicardial surface. In a canine study, unipolar electrograms were recorded (sampling rate 1,024 Hz) from 112 epicardial sites during both normal sinus rhythm (NSR) and ventricular fibrillation (VF). MSC-spectrums with respect to the electrogram from a reference site were computed using the weighted (Hanning window) overlapped (75% overlap) segmentation (segment length 512; 5 segments) fast Fourier transform approach. Average coherence at dominant frequencies during NSR was found to be 0.92/spl plusmn/0.01, and during VF 0.41/spl plusmn/0.03 (p<10/sup -49/). Further, the averaged MSC between electrograms from two sites was found to decrease with increasing distance during both NSR and VF. Also, the dispersion of MSC was found to be greater during VF. It is concluded that coherence analysis of epicardial electrograms could be employed to characterize the myocardial electrical activity during different rhythms, and quantify their levels of organization.< |
| Starting Page | 13 |
| Ending Page | 14 |
| File Size | 189431 |
| Page Count | 2 |
| File Format | |
| ISBN | 0780320506 |
| DOI | 10.1109/IEMBS.1994.412166 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-11-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Myocardium Rhythm Muscles Sampling methods Fibrillation Fast Fourier transforms Frequency |
| Content Type | Text |
| Resource Type | Article |
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