Development of cardioid based graph ECG heart abnormalities classification technique

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Development of cardioid based graph ECG heart abnormalities classification technique

In this study, the development of Cardioid based graph electrocardiogram heart abnormalities classification technique is presented. ECG signals in this work were acquired from a public online database UCD Sleep Apnea database (UCDB) with sampling rate of 250 Hz. Each recording has 60 seconds of elec...

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Bibliographic Details
Main Authors:	Mohd Azam, Siti Nurfarah Ain, Zainal, Nur Izzati, Sidek, Khairul Azami
Format:	Article
Language:	English
Published:	Asian Research Publishing Network (ARPN) 2015
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/46305/ http://irep.iium.edu.my/46305/1/jeas_1115_2979.pdf

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