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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Science & Engineering Research Support Society
2016
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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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