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 DATAInternational 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
Article Preview & Download




Go To Issue



Call For Paper

Volume 6 Issue 7

Last Date 25 December 2019


About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:8200 61 5067
Email: editor@ijirt.org
Website: ijirt.org

Policies