Automated diagnostic method for sleep apnea and hypopnea using overnight airflow and oxygen saturation.

ABSTRACT: 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 potent

SUBMITTER: Yu Y 

PROVIDER: S-EPMC12355581 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature