At-home wireless sleep monitoring patches for the clinical assessment of sleep quality and sleep apnea.

At-home wireless sleep monitoring patches for the clinical assessment of sleep quality and sleep apnea.
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DOI:
10.1126/sciadv.adg9671
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发表时间:
2023-05-24
期刊:
影响因子:
13.6
通讯作者:
Yeo, Woon-Hong
Yeo, Woon-Hong
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Kwon, Shinjae;Kim, Hyeon Seok;Kwon, Kangkyu;Kim, Hodam;Kim, Yun Soung;Lee, Sung Hoon;Jeong, Jae-Woong;Trotti, Lynn Marie;Duarte, Audrey;Yeo, Woon-Hong

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Although many people suffer from sleep disorders, most are undiagnosed, leading to impairments in health. The existing polysomnography method is not easily accessible; it's costly, burdensome to patients, and requires specialized facilities and personnel. Here, we report an at-home portable system that includes wireless sleep sensors and wearable electronics with embedded machine learning. We also show its application for assessing sleep quality and detecting sleep apnea with multiple patients. Unlike the conventional system using numerous bulky sensors, the soft, all-integrated wearable platform offers natural sleep wherever the user prefers. In a clinical study, the face-mounted patches that detect brain, eye, and muscle signals show comparable performance with polysomnography. When comparing healthy controls to sleep apnea patients, the wearable system can detect obstructive sleep apnea with an accuracy of 88.5%. Furthermore, deep learning offers automated sleep scoring, demonstrating portability, and point-of-care usability. At-home wearable electronics could ensure a promising future supporting portable sleep monitoring and home healthcare. At-home wearable wireless devices mounted on the face offer portable detection of sleep quality and sleep apnea.
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