可穿戴计算机
蓝牙
无线传感器网络
小型化
计算机科学
低功耗蓝牙技术
人体区域网
接口(物质)
无线
电气工程
嵌入式系统
实时计算
计算机硬件
工程类
电信
计算机网络
最大气泡压力法
气泡
并行计算
作者
Yansong Gai,Engui Wang,Minghao Liu,Lirong Xie,Yuan Bai,Yuan Yang,Jiangtao Xue,Xuecheng Qu,Xi Yuan,Linlin Li,Dan Luo,Zhou Li
标识
DOI:10.1002/smtd.202200653
摘要
Wireless wearable sweat analysis devices can monitor biomarkers at the molecular level continuously and in situ, which is highly desired for personalized health care. The miniaturization, integration, and wireless operation of sweat sensors improve the comfort and convenience while also bringing forward new challenges for power supply technology. Herein, a wireless self-powered wearable sweat analysis system (SWSAS) is designed that effectively converts the mechanical energy of human motion into electricity through hybrid nanogenerator modules (HNGMs). The HNGM shows stable output characteristics at low frequency with a current of 15 mA and a voltage of 60 V. Through real-time on-body sweat analysis powered by HNGM, the SWSAS is demonstrated to selectively monitor biomarkers (Na+ and K+ ) in sweat and wirelessly transmit the sensing data to the user interface via Bluetooth.
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