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A Fully Integrated and Self-Powered Smartwatch for Continuous Sweat Glucose Monitoring
Author(s) -
Jiangqi Zhao,
Yuanjing Lin,
J. Wu,
Hnin Yin Yin Nyein,
Mallika Bariya,
LiChia Tai,
Minghan Chao,
Wenbo Ji,
George Zhang,
Zhiyong Fan,
Ali Javey
Publication year - 2019
Publication title -
acs sensors
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.055
H-Index - 57
ISSN - 2379-3694
DOI - 10.1021/acssensors.9b00891
Subject(s) - smartwatch , wearable computer , computer science , continuous monitoring , embedded system , wearable technology , computer hardware , real time computing , engineering , operations management
Wearable devices for health monitoring and fitness management have foreseen a rapidly expanding market, especially those for noninvasive and continuous measurements with real-time display that provide practical convenience and eliminated safety/infection risks. Herein, a self-powered and fully integrated smartwatch that consists of flexible photovoltaic cells and rechargeable batteries in the forms of a "watch strap", electrochemical glucose sensors, customized circuits, and display units integrated into a "dial" platform is successfully fabricated for real-time and continuous monitoring of sweat glucose levels. The functionality of the smartwatch, including sweat glucose sensing, signal processing, and display, can be supported with the harvested/converted solar energy without external charging devices. The Zn-MnO 2 batteries serve as intermediate energy storage units and the utilization of aqueous electrolytes eliminated safety concerns for batteries, which is critical for wearable devices. Such a wearable system in a smartwatch fashion realizes integration of energy modules with self-powered capability, electrochemical sensors for noninvasive glucose monitoring, and in situ and real-time signal processing/display in a single platform for the first time. The as-fabricated fully integrated and self-powered smartwatch also provides a promising protocol for statistical study and clinical investigation to reveal correlations between sweat compositions and human body dynamics.

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