Detection of myocardial infarction in 12 lead ECG using support vector machine-Reference-Cited by-同舟云学术

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Detection of myocardial infarction in 12 lead ECG using support vector machine

Published:2018-03 Issue: Volume:64 Page:138-147
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Dohare Ashok Kumar,Kumar Vinod,Kumar Ritesh

Funder

Engineering College Rewa

Technical Education & Training Department, M.P. Govt.

All India Council for Technical Education, New Delhi

QIP Centre, I.I.T. Roorkee

Publisher

Elsevier BV

Subject

Software

Reference25 articles.

1. Third universal definition of myocardial infarction;Thygesen;Circulation,2012

2. Defining unrecognized myocardial infarction: a call for standardized electrocardiographic diagnostic criteria;Ammer;Am. Heart J.,2004

3. Multiscale energy and eigenspace approach to detection and localization of myocardial infarction;Sharma;IEEE Trans. Biomed. Eng.,2015

4. ECG analysis using multiple instance learning for myocardial infarction detection;Sun;IEEE Trans. Biomed. Eng.,2012

5. Myocardial infarction classification with multi-lead ECG using hidden Markov models and Gaussian mixture models;Chang;Appl. Soft Comput.,2012

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