Utilizing Accelerometer and Photoplethysmography Data from A Smartwatch for the Quantitative Detection of Adult Sleep Apnea
Year: 2024
Type: conference-paper
Study design: Observational Study
Abstract: Sleep apnea (SA) is linked to cardiovascular disease and is marked by insufficient global awareness and low diagnostic rates. The implementation of effective screening tools has the potential to enhance early diagnosis, raise public awareness, and improve the overall health and quality of life for patients. This study aimed to evaluate the capability of the S7 smartwatch, utilizing accelerometry and photoplethysmography, to quantify apnea-hypopnea events during overnight monitoring. Clinical findings demonstrate a strong correlation between the apnea-hypopnea index (AHI) estimated by the S7 smartwatch and by home sleep testing (R=0.88). The accuracy rates for detecting moderate SA (AHI ≥ 15) and severe SA (AHI ≥ 30) using smartwatch-based measurements are 81% and 97%, respectively. Consequently, our findings indicate that the smartwatch can effectively serve as reliable tools for adult SA screening.
Authors: Yabin Meng, Wentian Jiang, Ruiqi Guo, Peng Deng, Zhao He, Shunde Hong, Chi-Wei Chang
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411031114