AUTOMATED IDENTIFICATION OF MYOCARDIAL INFRACTION USING HARMONIC PHASE DISTRIBUTION PATTERN OF ECG DATA

AUTOMATED IDENTIFICATION OF MYOCARDIAL INFRACTION USING HARMONIC PHASE DISTRIBUTION PATTERN OF ECG DATA
Author(s):
Astha Mehta, Swapnil Aryan Sinha, Ankita Singh
ISSN:
2349-6002
Cite This Article:
AUTOMATED IDENTIFICATION OF MYOCARDIAL INFRACTION USING HARMONIC PHASE DISTRIBUTION PATTERN OF ECG DATA, International Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 5 ,Issue 11 ,Page(s):311-314 ,April 2019 ,Available :IJIRT147917_PAPER.pdf
Keywords:

Abstract
The proposed project consists of the integration of automated ECG analysis techniques for the early detection of myocardial infarction, known as heart attack. It consists of easier and compact way of the detection compared to the already existing models which use complex computations and classifiers to detect MI. The wave sequence consists of P, QRS and T waves which form a complete cardiac cycle. These components are extracted during the analysis of the wave. These components, then, help in distinguishing the heart abnormalities.
Article Details
Unique Paper ID: 147917 Publication Volume & Issue: Volume 5, Issue 11 Page(s): 311 - 314
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International Journal of Innovative Research in Technology