e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Aug 2019 - Volume 10, Issue 4
Deadline: 15 Jul 2019
Notification: 15 Aug 2019
Publication: 31 Aug 2019

Oct 2019 - Volume 10, Issue 5
Deadline: 15 Sep 2019
Notification: 15 Oct 2019
Publication: 30 Oct 2019

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IJCSE Indexed in Scopus

ABSTRACT

Title : MINING OF ECG SIGNAL FOR NEW DIAGNOSTIC INFORMATION
Authors : Rajiv Kumar Nath, Sanjay Nath
Keywords : ECG signal; Average signal morphology; RR Interval Frequency Histogram; feature comparison; Cardiac arrhythmia.
Issue Date : August 2010
Abstract :
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.
Page(s) : 108-113
ISSN : 0976-5166
Source : Vol. 1, No.2