A Fully Integrated and Self-Powered Smartwatch for Continuous Sweat Glucose Monitoring
Abstract
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. In this research, 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.
- Authors:
-
- Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences and Berkeley Sensor and Actuator Center; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Materials Sciences Division; Sichuan Univ., Chengdu (China). Polymer Research Inst., State Key Lab. of Polymer Materials
- Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences and Berkeley Sensor and Actuator Center; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Materials Sciences Division; Hong Kong Univ. of Science and Technology, Hong Kong (China). Dept. of Electronic and Computer Engineering
- Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences
- Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences and Berkeley Sensor and Actuator Center; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Materials Sciences Division
- Hong Kong Univ. of Science and Technology, Hong Kong (China). Dept. of Electronic and Computer Engineering
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division; National Science Foundation (NSF)
- OSTI Identifier:
- 1638991
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- ACS Sensors
- Additional Journal Information:
- Journal Volume: 4; Journal Issue: 7; Journal ID: ISSN 2379-3694
- Publisher:
- American Chemical Society (ACS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION; flexible biosensors; noninvasive glucose monitoring; self-powered system; wearable electronics; healthcare and fitness management
Citation Formats
Zhao, Jiangqi, Lin, Yuanjing, Wu, Jingbo, Nyein, Hnin Yin Yin, Bariya, Mallika, Tai, Li-Chia, Chao, Minghan, Ji, Wenbo, Zhang, George, Fan, Zhiyong, and Javey, Ali. A Fully Integrated and Self-Powered Smartwatch for Continuous Sweat Glucose Monitoring. United States: N. p., 2019.
Web. doi:10.1021/acssensors.9b00891.
Zhao, Jiangqi, Lin, Yuanjing, Wu, Jingbo, Nyein, Hnin Yin Yin, Bariya, Mallika, Tai, Li-Chia, Chao, Minghan, Ji, Wenbo, Zhang, George, Fan, Zhiyong, & Javey, Ali. A Fully Integrated and Self-Powered Smartwatch for Continuous Sweat Glucose Monitoring. United States. https://doi.org/10.1021/acssensors.9b00891
Zhao, Jiangqi, Lin, Yuanjing, Wu, Jingbo, Nyein, Hnin Yin Yin, Bariya, Mallika, Tai, Li-Chia, Chao, Minghan, Ji, Wenbo, Zhang, George, Fan, Zhiyong, and Javey, Ali. Thu .
"A Fully Integrated and Self-Powered Smartwatch for Continuous Sweat Glucose Monitoring". United States. https://doi.org/10.1021/acssensors.9b00891. https://www.osti.gov/servlets/purl/1638991.
@article{osti_1638991,
title = {A Fully Integrated and Self-Powered Smartwatch for Continuous Sweat Glucose Monitoring},
author = {Zhao, Jiangqi and Lin, Yuanjing and Wu, Jingbo and Nyein, Hnin Yin Yin and Bariya, Mallika and Tai, Li-Chia and Chao, Minghan and Ji, Wenbo and Zhang, George and Fan, Zhiyong and Javey, Ali},
abstractNote = {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. In this research, 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-MnO2 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.},
doi = {10.1021/acssensors.9b00891},
url = {https://www.osti.gov/biblio/1638991},
journal = {ACS Sensors},
issn = {2379-3694},
number = 7,
volume = 4,
place = {United States},
year = {2019},
month = {7}
}
Web of Science
Works referencing / citing this record:
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The recent advances in self‐powered medical information sensors
journal, December 2019
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