期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2017
卷号：17
期号：9
页码：102-107
出版社：International Journal of Computer Science and Network Security
摘要：In this work, we present an algorithm for ST segment analysis in electrocardiogram (ECG) using wavelet transform. In preprocessing stage, Discrete Wavelet Transform DWT is used to remove the baseline wander (BW) and power line interference (PLI) in the ECG signal. The decomposition of the ECG signal using Daubechies (Db4) Wavelet up to level 8 allows accurate time-frequency localization of the heartbeat waves (QRS complex, P wave, and T wave). ST segment level was estimated based on the isoelectric level. The algorithm was evaluated against European ST-T Database (EDB) and Long-Term ST Database (LTSTDB).
关键词：ECG; DWT; QRS detection; ST segment; isoelectric line.
