Prediction of Obstructive Sleep Apnea Based on Respiratory Sounds Recorded Between Sleep Onset and Sleep Offset.

Conclusion: This study showed that our binary classifier predicted patients with AHI of ≥15 with sensitivity and specificity of >80% by using respiratory sounds during sleep. Since our prediction model included all sleep stage data, algorithms based on respiratory sounds may have a high value for prescreening OSA with mobile devices. PMID: 30189718 [PubMed - as supplied by publisher]
Source: Clinical and Experimental Otorhinolaryngology - Category: ENT & OMF Tags: Clin Exp Otorhinolaryngol Source Type: research