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

ABSTRACT: 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 comp

SUBMITTER: Kwon S 

PROVIDER: S-EPMC10208583 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature