Nature and Science of Sleep (Feb 2024)
Comparison of OPPO Watch Sleep Analyzer and Polysomnography for Obstructive Sleep Apnea Screening
Abstract
Guangxin Zhou,1,2 Wei Zhao,2 Yi Zhang,2 Wenli Zhou,2 Haizhou Yan,2 Yongli Wei,1 Yuming Tang,1 Zijing Zeng,2 Hanrong Cheng1 1Department of Sleep Medicine, Institute of Respiratory Diseases, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, People’s Republic of China; 2OPPO Health, Guangdong OPPO Mobile Telecommunications Co. Ltd., Shenzhen, Guangdong, People’s Republic of ChinaCorrespondence: Hanrong Cheng, Department of Sleep Medicine, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, People’s Republic of China, Email [email protected]: To evaluate the clinical performance of the OPPO Watch (OW) Sleep Analyzer (OWSA) on OSA screening with polysomnography reference.Methods: We recruited 350 participants using OWSA and PSG simultaneously in a sleep laboratory. The respiratory event index (REI) derived from OWSA and the apnea-hypopnea index (AHI) provided by PSG were compared. SHapley Additive exPlanation (SHAP) values were calculated to explain the model of OWSA.Results: The OWSA-REI (26.5± 18.5 events/h) correlated well with PSG-AHI (33.2± 25.7 events/h; r = 0.91, p < 0.001), with an intraclass correlation coefficient (ICC) of 0.83. Using a threshold of AHI ≥ 15 events/h, the sensitivity, specificity, accuracy, and area under the curve (AUC) were 86.1%, 86.7%, 86.3%, and 0.94, respectively. Bland-Altman analysis showed that OWSA-REI and PSG-AHI were in good agreement (Mean Difference: − 6.7, 95% CI:16.0 to − 29.3 events/h). In addition, the effectiveness of the models in OWSA were also explained by visualizing SHAP values.Conclusion: The OWSA demonstrated a reasonable performance for OSA screening in the clinical setting. In light of this, it is possible for smartwatches to become a complementary tool to PSG, which is particularly useful for larger-scale preliminary screenings.Plain Language Summary: OPPO Watch Sleep Analyzer (OWSA), an emerging sleep-tracking method based on a wearable device, uses a machine learning model to analyze physiological signals including snoring recordings, and other basic anthropometric information to estimate REI. The study evaluated the OSA screening performance of OWSA with PSG-AHI and interpreted the results of the pre-trained machine learning model.OWSA demonstrated consistent clinical diagnostic performance for OSA. The interpretive machine learning models used in OWSA highlighted the impact of multi-modal data on estimation results. Therefore, these types of models are likely to be more widely accepted and promoted in clinical practice.Keywords: obstructive sleep apnea, photoplethysmography, polysomnography, smartwatch
