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J. Garcia, L Sornmo, S. Olmos, P. Laguna, (2000) Auto-matic detection of ST–T complex changes on the ECG using filtered RMS difference series: Application to am-bulatory ischemia monitoring, IEEE Trans Biomed Eng; 47(9), 1195-201.

has been cited by the following article:

• TITLE: Detection ischemic episodes from electrocardiogram signal using wavelet transform

  AUTHORS: Mohammad Karimi Moridani, Majid Pouladian

  KEYWORDS: Myocardial Ischemic; Wavelet Transform; ECG

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.2 No.4, August 17, 2009

  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.