Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review
Shuang Cao,
Ivana Rosenzweig,
Federico Bilotta
et al.
Abstract:Background and Objective
Obstructive sleep apnea (OSA) is a common chronic disorder characterized by repeated breathing pauses during sleep caused by upper airway narrowing or collapse. The gold standard for OSA diagnosis is the polysomnography test, which is time consuming, expensive, and invasive. In recent years, more cost-effective approaches for OSA detection based in predictive value of speech and snoring has emerged. In this paper, we offer a comprehensive summary of current research progre… Show more
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