Detection ischemic episodes from electrocardiogram signal using wavelet transform  

作　　者：Mohammad Karimi Moridani Majid Pouladian 

机构地区：[1]Biomedical Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran

出　　处：《Journal of Biomedical Science and Engineering》2009年第4期239-244,共6页生物医学工程（英文）

摘　　要：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.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.

关 键 词：MYOCARDIAL ISCHEMIC WAVELET TRANSFORM ECG 

分 类 号：R73[医药卫生—肿瘤]