期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：6
出版社：IJCSI Press
摘要：Changes in the normal rhythm of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart sustained over long periods of time. The ability to automatically identify arrhythmias from ECG recordings is important for clinical diagnosis and treatment. This paper discusses about how the intelligent signal processing method is used to detect and extract features of ECG signals and finally clustering these features to predict the type of arrhythmia by using data stream mining algorithms. The system discussed in this paper is integrated with Wireless Sensors Network (WSN) through which ECG signal of patient can be sensed and analyze in real time to diagnose presence of arrhythmia and classify them in 8 different types. The system is thus helpful to doctors for evaluation and monitoring of patient\'s heart condition at any time and any location.
关键词：Data Stream Mining; Preventive Health Care; Feature Extraction; ECG Signal Preprocessing
