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All‐Nanofiber Self‐Powered Skin‐Interfaced Real‐Time Respiratory Monitoring System for Obstructive Sleep Apnea‐Hypopnea Syndrome Diagnosing
Author(s) -
Peng Xiao,
Dong Kai,
Ning Chuan,
Cheng Renwei,
Yi Jia,
Zhang Yihan,
Sheng Feifan,
Wu Zhiyi,
Wang Zhong Lin
Publication year - 2021
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.202103559
Subject(s) - obstructive sleep apnea , hypopnea , materials science , intermittent hypoxia , medicine , sleep (system call) , sleep apnea , biomedical engineering , apnea , computer science , polysomnography , operating system
Human respiration is an indispensable physiological behavior of the body, which is an important indicator to evaluate health status, especially for sleep‐related diseases. A real‐time respiratory monitoring and sleep breathing detecting system with convenience, high sensitivity, simple fabrication, and wearing comfort still remains a challenge and urgently desirable. Here, a breathable, highly sensitive, and self‐powered electronic skin (e‐skin) based on a triboelectric nanogenerator (TENG) is reported for real‐time respiratory monitoring and obstructive sleep apnea‐hypopnea syndrome (OSAHS) diagnosis. By using multilayer polyacrylonitrile and “polyamide 66” nanofibers as the contact pairs, and deposited gold as the electrodes, a contact‐separation type of TENG‐based all‐nanofiber e‐skin is developed. The e‐skin has a peak power density of 330 mW m −2 , high pressure sensitivity of 0.217 kPa −1 , excellent working stability, and good air permeability. Therefore, the e‐skin is simultaneously capable of energy autonomy and accurate real‐time subtle respiration monitoring. Meanwhile, a self‐powered diagnostic system for real‐time detection and severity evaluation of obstructive sleep apnea‐hypopnea syndrome are further developed to prevent the occurrence of OSAHS, delay its development, and improve sleep quality. This study hopes to pave a new and practical pathway for real‐time respiration monitoring and sleep breathing diseases clinical detection.