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Updated: Sep 11, 2025

Multi-Modal Home Sleep Monitoring in Older Adults
Published on: January 26, 2019
Automated diagnostic method for sleep apnea and hypopnea using overnight airflow and oxygen saturation
Yi Yu1, Jing-Jing Huang2,3, Hui Yang1
1College of Medical Instruments, Shanghai University of Medicine & Health Sciences, Shanghai, China.
None:
Polysomnography (PSG) is the gold standard for diagnosing obstructive sleep apnea-hypopnea syndrome (OSAHS), but it relies heavily on manual scoring by experienced clinicians, which is time-consuming and costly. This study presents an automated method for detecting sleep apnea and hypopnea events using overnight airflow and blood oxygen saturation signals. Apnea episodes are identified through local range (LR) analysis of airflow, while rapid oxygen desaturation supports hypopnea detection. LR thresholds were trained on data from 100 patients and validated on an independent cohort of 43 patients. The system's performance was compared to clinician annotations using the apnea-hypopnea index (AHI). The results demonstrated high consistency with manual scoring, highlighting the method's potential for home-based monitoring and large-scale screening. This approach offers a lightweight and scalable alternative to traditional diagnostic procedures, reducing dependence on complex equipment and human interpretation.
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