Chih-Wei Tsai, Lydia Leung, Hung Tat Chen, Ka Cheung Kwok, Michelle Lee, Ambrose A Chiang
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引用次数: 0
Abstract
Obstructive sleep apnea (OSA) is a pervasive disorder characterized by recurrent airway obstructions during sleep. OSA carries serious health risks, such as cardiovascular and cognitive impairments, and imposes a significant economic burden. This chapter provides a comprehensive overview of various biosensors currently employed for OSA detection, including in-lab polysomnography and flow-based home sleep apnea testing. It also explores cutting-edge OSA-detecting technologies that often leverage advanced, artificial intelligence-powered sensing modalities, encompassing photoplethysmography/peripheral arterial tonometry-based, sound-based, and respiratory effort-based wearables. Moreover, this chapter examines promising diagnostic and screening solutions, including airables, bed/mattress sensors, and smartphone sensors. It also delves into emerging sensing technologies currently under active investigation, including earables/hearables and remote PPG. This review serves as a practical guide to understanding the mechanisms, capabilities, limitations, and clinical evidence surrounding both modern and future sensors poised to revolutionize the landscape of OSA detection.
期刊介绍:
Progress in Molecular Biology and Translational Science (PMBTS) provides in-depth reviews on topics of exceptional scientific importance. If today you read an Article or Letter in Nature or a Research Article or Report in Science reporting findings of exceptional importance, you likely will find comprehensive coverage of that research area in a future PMBTS volume.