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ISSN 2063-5346
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A Hybrid Analysis of Machine Learning and Deep Learning Algorithms for Sleep Apnea Detection from Single-Lead ECG

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1. Prashant K Mulge, 2. Sharanabasappa V H
» doi: 10.48047/ecb/2023.12.8.646

Abstract

Sleep apnea (SA) is a type of sleep disorder characterized by snoring and chronic sleeplessness, which can lead to serious conditions such as high blood pressure, heart failure, and cardiomyopathy (enlargement of the muscle tissue of the heart). The electrocardiogram (ECG) plays a critical role in identifying SA since it might reveal abnormal cardiac activity

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