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ST Segment Analysis for Early Detection of Myocardial Infarction

Nang Anija Manlong1 , Jagdeep Rahul2 , Marpe Sora3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 1500-1504, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.15001504

Online published on Jun 30, 2018

Copyright © Nang Anija Manlong, Jagdeep Rahul, Marpe Sora . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Nang Anija Manlong, Jagdeep Rahul, Marpe Sora, “ST Segment Analysis for Early Detection of Myocardial Infarction,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1500-1504, 2018.

MLA Style Citation: Nang Anija Manlong, Jagdeep Rahul, Marpe Sora "ST Segment Analysis for Early Detection of Myocardial Infarction." International Journal of Computer Sciences and Engineering 6.6 (2018): 1500-1504.

APA Style Citation: Nang Anija Manlong, Jagdeep Rahul, Marpe Sora, (2018). ST Segment Analysis for Early Detection of Myocardial Infarction. International Journal of Computer Sciences and Engineering, 6(6), 1500-1504.

BibTex Style Citation:
@article{Manlong_2018,
author = { Nang Anija Manlong, Jagdeep Rahul, Marpe Sora},
title = {ST Segment Analysis for Early Detection of Myocardial Infarction},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1500-1504},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2374},
doi = {https://doi.org/10.26438/ijcse/v6i6.15001504}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.15001504}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2374
TI - ST Segment Analysis for Early Detection of Myocardial Infarction
T2 - International Journal of Computer Sciences and Engineering
AU - Nang Anija Manlong, Jagdeep Rahul, Marpe Sora
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1500-1504
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

Myocardial infarction is one of the most serious and prevailing heart disease faced in today’s world, occurs when blood supply stops to a certain artery. Early and accurate detection of myocardial infarction reduces the mortality rate of heart attack. In this paper, we proposed an algorithm for early detection of myocardial infarction based on analysis of ST segment in electrocardiogram (ECG). This algorithm consists of following steps: loading of a database from physionet, preprocessing of a signal, detection of QRS complex, P, T wave, ST segment and other related parameters. European ST-T database was used for evaluation of an algorithm for detection of ST segment.

Key-Words / Index Term

Electrocardiogram (ECG), myocardial infarction (MI), ST segment, QRS complex, European ST-T database

References

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