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An Intelligent Algorithm for Home Sleep Apnoea Test Device

An Intelligent Algorithm for Home Sleep Apnoea Test Device

Ahsan H. Khandoker
Copyright: © 2012 |Pages: 15
ISBN13: 9781609608187|ISBN10: 1609608186|EISBN13: 9781609608194
DOI: 10.4018/978-1-60960-818-7.ch516
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MLA

Khandoker, Ahsan H. "An Intelligent Algorithm for Home Sleep Apnoea Test Device." Machine Learning: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, IGI Global, 2012, pp. 1445-1459. https://doi.org/10.4018/978-1-60960-818-7.ch516

APA

Khandoker, A. (2012). An Intelligent Algorithm for Home Sleep Apnoea Test Device. In I. Management Association (Ed.), Machine Learning: Concepts, Methodologies, Tools and Applications (pp. 1445-1459). IGI Global. https://doi.org/10.4018/978-1-60960-818-7.ch516

Chicago

Khandoker, Ahsan H. "An Intelligent Algorithm for Home Sleep Apnoea Test Device." In Machine Learning: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, 1445-1459. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-60960-818-7.ch516

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Abstract

In this chapter authors try to develop a system for Sleep apnea with the help of machine learning algorithms using ECG signals.  The application of an intelligent machine learning technique (Support Vector Machines, SVM) to diagnose the patients with sleep apnea syndrome using Electrocardiogram (ECG) signal.  Sleep apnea syndrome is a medical condition caused by sleep apnea which is defined as the cessation of breathing for short periods during sleep.

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