A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank-Reference-Cited by-同舟云学术

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A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank

Published:2018-11 Issue: Volume:102 Page:341-356
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Sharma Manish,Tan Ru San,Acharya U. Rajendra

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference73 articles.

1. Study of heart rate variability signals at sitting and lying postures;Acharya;J. Bodyw. Mov. Ther.,2005

2. Heart Attack (Myocardial Infarction);Kulick,2008

3. Heart disease and stroke statistics-2016 update: a report from the american heart association;Mozaffarian;Circulation,2016

4. ECG techniques and technologies;Garvey;Emerg. Med. Clin.,2006

5. Advances in Cardiac Signal Processing;Acharya,2007

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