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

• Published in: Journal of medical signals and sensors Vol. 3; no. 4; pp. 225 - 230
• Main Authors: Keshtkar, Ahmad, Seyedarabi, Hadi, Sheikhzadeh, Peyman, Rasta, SeyedHossein
• Format: Journal Article
• Language: English
• Published: India Medknow Publications & Media Pvt Ltd 01.10.2013; Wolters Kluwer Medknow Publications
• Subjects: Discrete wavelet transform; electrocardiogram; myocardial infarction; Original; probabilistic neural network; electrocardiogram; Discrete wavelet transform; probabilistic neural network; myocardial infarction

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...