Article

A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning

2025-09-08

Abstract excerpt

<h4>ABSTRACT</h4> Obstructive sleep apnea (OSA) is a common sleep disorder associated with increased cardiovascular and neurocognitive risks. While polysomnography remains the clinical gold standard for diagnosis, it is costly and unsuitable for large-scale or real-time screening. Electrocardiogram (ECG) signals offer a non-invasive, low-cost alternative for sleep apnea detection. We present a holistic new frame...

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Literature Corpus work: f78a3c8a-ac67-5e18-931c-b5b3b314b8eb
DOI: 10.1101/2025.09.03.673993

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