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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dickhaus, H. Maier, C. |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Med. Informatics, Heidelberg Univ., Germany (Dickhaus, H.; Maier, C.) |
| Abstract | This study investigates and compares the utility of different electrocardiographic features quantifying variability of either heart rhythm or of ECG morphology for detection of sleep apnea. For heart rhythm, the sequence of RR-intervals was analyzed. To characterize ECG morphology, signal vectors were extracted from the QRS- and the T-wave region. Their projection on the first principal component yields series of scalar coefficients which were used as parameters of morphology. From the derived series as well as from a demodulated version of these sequences, we calculated a measure of similarity as well as a spectral parameter from temporal segments of 5 minutes duration. The diagnostic accuracy of these features was evaluated by means of ROC-analysis and a second order polynomial classifier. Best results were obtained from the local similarity index of the projection coefficients from the T-wave region (sensitivity 87.2%, specificity 87.5%). A slight performance increase was achieved by considering additional features from the QRS-region and the RR-intervals (88.8%/93.1%). It is concluded that although relevant information is embedded in the heart rhythm, the variability of ECG morphology reflect apnea related patterns slightly better. |
| Sponsorship | Whitaker Found |
| Starting Page | 334 |
| Ending Page | 337 |
| File Size | 392953 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780377893 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.2003.1279637 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-09-17 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Rhythm Electrocardiography Sleep apnea Morphology Cardiology Heart rate Biomedical informatics Polynomials Accidents Medical diagnostic imaging |
| Content Type | Text |
| Resource Type | Article |
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