期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：10
页码：5177
出版社：S&S Publications
摘要：Automatic interpretation of ECG Signals from ECG Machines has become need of the hour. Digitalprocessing of the ECG signals via Discrete Wavelet Transform (DWT) is a fruitful option for Features’ Extraction andDisease Classification. Selection of correct mother wavelet as the basis for DWT plays an important role in wholeprocessing of ECG signals. This research paper proves how various mother wavelets affect the Noise and Detectionperformance of the Features’ Extractor used.
