Discriminant analysis between myocardial infarction patients and healthy subjects using wavelet transformed signal averaged electrocardiogram and probabilistic neural network

Discriminant analysis between myocardial infarction patients and healthy subjects using wavelet transformed signal averaged electrocardiogram and probabilistic neural network

There are a variety of electrocardiogram based methods to detect myocardial infarction (MI) patients. This study used the signal averaged electrocardiogram (SAECG) and its wavelet coefficient as an index to detect MI. Orthogonal leads signals from 50 acute myocardial infarction (AMI) and 50 healthy...

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Bibliographic Details
Main Authors: Ahmad Keshtkar, Hadi Seyedarabi, Peyman Sheikhzadeh, Seyed Hossein Rasta
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2013-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
Discrete wavelet transform
electrocardiogram
myocardial infarction
probabilistic neural network
Online Access:http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2013;volume=3;issue=4;spage=225;epage=230;aulast=Keshtkar

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