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An Intelligent Algorithm for Home Sleep Apnea Test Device
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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