Sleep apnea detection using cardioid based grap

In this study, the development of Cardioid based graph electrocardiogram heart abnormalities classification technique is presented. ECG signals in this work were attained 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, Sidek, Khairul Azami, Zainal, Nur Izzati
Format: Article
Language:English
Published: Science & Engineering Research Support Society 2016
Subjects:
Online Access:http://irep.iium.edu.my/52699/1/IJBSBT_Sleep%20Apnea%20Detection%20using%20Cardioid%20Based%20Graph.pdf
http://irep.iium.edu.my/52699/
http://www.sersc.org/journals/IJBSBT/vol8_no5/2.pdf
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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