INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A survey on Myocardial Infarction using digital signal processing techniques and algorithms
Authors Name:
Maheswari S
, Dr.P.Kannan , Mr. Allan.J.Wilson
Unique Id:
IJSDR1911020
Published In:
Volume 4 Issue 11, November-2019
Abstract:
India has witnessed a disquieting rise in heart diseases such as heart attack, stroke and other complications in cardiovascular tract. In USA 7,90,000 Americans suffer from myocardial infarction every year. On the whole, the mortality rate is 70%. Early accurate diagnosis can save millions of life and survivors rate can be increased further. The electrical signals from the heart are measured using ElectroCardioGram (ECG). The ECG signal consists of several noises and baseline wandering and has to be processed to extract the information of each waves such as P, Q, R, S, T and rarely U. For feature extraction and noise elimination signal processing plays a vital role. The main aim of this study is to identify the distractions and deviation in any part of the wave mainly on the ST segment with elevation or prolongation which exactly detects the myocardial infarction. The processed information is useful for clinical study. This paper concentrates on the comprehensive study of various detecting methods and algorithms. It also provides an overview of many eminent approaches till date with its drawback and characteristics. The statistical performance metrics such as specificity, sensitivity and accuracy have also been discussed in this survey.
Keywords:
ECG, Myocardial Infarction, Feature Extraction, Accuracy, Sensitivity and Specificity.
Cite Article:
"A survey on Myocardial Infarction using digital signal processing techniques and algorithms ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 11, page no.117 - 122, November-2019, Available :http://www.ijsdr.org/papers/IJSDR1911020.pdf
Downloads:
000337348
Publication Details:
Published Paper ID: IJSDR1911020
Registration ID:191101
Published In: Volume 4 Issue 11, November-2019
DOI (Digital Object Identifier):
Page No: 117 - 122
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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