Details

Autor(en) / Beteiligte

• Lin, Zhiming
• Yang, Jun
• Li, Xiaoshi
• Wu, Yufen
• Wei, Wei
• Liu, Jun
• Chen, Jun
• Yang, Jin

Titel

Large‐Scale and Washable Smart Textiles Based on Triboelectric Nanogenerator Arrays for Self‐Powered Sleeping Monitoring

Ist Teil von

• Advanced functional materials, 2018-01, Vol.28 (1), p.n/a

Ort / Verlag

Hoboken: Wiley Subscription Services, Inc

Erscheinungsjahr

2018

Quelle

Wiley-Blackwell Journals

Beschreibungen/Notizen

• Sleeping disorder is a major health threatening in high‐pace modern society. Characterizing sleep behavior with pressure‐sensitive, simple fabrication, and decent washability still remains a challenge and highly desired. Here, a pressure‐sensitive, large‐scale, and washable smart textile is reported based on triboelectric nanogenerator (TENG) array as bedsheet for real‐time and self‐powered sleep behavior monitoring. Fabricated by conductive fibers and elastomeric materials with a wave structure, the TENG units exhibit desirable features including high sensitivity, fast response time, durability, and water resistance, and are interconnected together, forming a pressure sensor array. Furthermore, highly integrated data acquisition, processing, and wireless transmission system is established and equipped with the sensor array to realize real‐time sleep behavior monitoring and sleep quality evaluation. Moreover, the smart textile can further serve as a self‐powered warning system in the case of an aged nonhospitalized patients falling down from the bed, which will immediately inform the medical staff. This work not only paves a new way for real‐time noninvasive sleep monitoring, but also presents a new perspective for the practical applications of remote clinical medical service. A large‐scale and washable smart textile based on a triboelectric nanogenerator array as bedsheet is demonstrated for self‐powered sleep behavior monitoring, which can detect and record the person's sleeping behavior in real‐time manner. Based on the acquired sleep‐behavioral data, the sleep quality report will be generated for further health evaluation or illness diagnosis.