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An Intelligent Algorithm for Home Sleep Apnea Test Device

An Intelligent Algorithm for Home Sleep Apnea Test Device

Ahsan H. Khandoker
Copyright: © 2010 |Pages: 15
ISBN13: 9781615209774|ISBN10: 1615209778|ISBN13 Softcover: 9781616923419|EISBN13: 9781615209781
DOI: 10.4018/978-1-61520-977-4.ch011
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MLA

Khandoker, Ahsan H. "An Intelligent Algorithm for Home Sleep Apnea Test Device." Intelligent Medical Technologies and Biomedical Engineering: Tools and Applications, edited by Anupam Shukla and Ritu Tiwari, IGI Global, 2010, pp. 226-240. https://doi.org/10.4018/978-1-61520-977-4.ch011

APA

Khandoker, A. (2010). An Intelligent Algorithm for Home Sleep Apnea Test Device. In A. Shukla & R. Tiwari (Eds.), Intelligent Medical Technologies and Biomedical Engineering: Tools and Applications (pp. 226-240). IGI Global. https://doi.org/10.4018/978-1-61520-977-4.ch011

Chicago

Khandoker, Ahsan H. "An Intelligent Algorithm for Home Sleep Apnea Test Device." In Intelligent Medical Technologies and Biomedical Engineering: Tools and Applications, edited by Anupam Shukla and Ritu Tiwari, 226-240. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-977-4.ch011

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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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