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Detection ischemic episodes from electrocardiogram signal using wavelet transform
Biomedical Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran
Biomedical Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran
- 1 Biomedical Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran
- 2 Biomedical Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran
Journal of Biomedical Science and Engineering·Volume 02 (2009)·Pages 239–244·Published 14 August 2009·DOI10.4236/jbise.2009.24037
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Abstract
In this paper, we propose an algorithm for de-tection of myocardial ischemic episodes from electrocardiogram (ECG) signal using the wavelet transform technique. The algorithm was tested on data from the European ST-T change database. Results show that this algorithm is effective for distinguishing normal ECGs from ischemic. We developed a method that uses wavelets for extracting ECG patterns that are characteristic for myocardial ischemia.
KeywordsMyocardial IschemicWavelet TransformECG
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