文章基本信息

标题：MINING OF ECG SIGNAL FOR NEW DIAGNOSTIC INFORMATION
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作者：Rajiv Kumar Nath ; Sanjay Nath
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2010
卷号：1
期号：2
页码：108-113
出版社：Engg Journals Publications
摘要：This paper investigates a technique, which extracts new features having potentiality for giving more discriminatory clues from simple ECG (Electrocardiogram) signals. The extracted feature parameters, Average RR Signal Morphology (ARSM) and RR Interval Frequency Histogram (RIFH) of an ECG signal from pre-selected data segment of the MIT-database shows that they may be utilized to detect some clinically challenging problems like Paroxysmal disease of Heart. For checking the efficiency of a Multidimensional- feature parameter like those mentioned above, we have employed a novel two dimensional display method. Overall, it was shown that the same technique may be employed for comparative study of new as well as old feature parameters extracted from biomedical images and signals.
关键词：ECG signal; Average signal morphology; RR Interval Frequency Histogram; feature comparison; Cardiac arrhythmia.