| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10345449 | Computer Methods and Programs in Biomedicine | 2012 | 7 Pages |
Abstract
⺠We make QRS detection using a single threshold obtained from wavelet coefficients. ⺠Power spectrum in different energy levels is used to calculate detector threshold. ⺠QRS energy is highest in the range (11.25-22.5 Hz) for normal beats. ⺠QRS energy is highest in the range (6.62-11.25 Hz) for ventricular extra-systoles. ⺠Effect of artifacts, T and P waves are attenuated using wavelet detail coefficients.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Zahia Zidelmal, Ahmed Amirou, Mourad Adnane, Adel Belouchrani,