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Self-Powered Wearable Biosensors

Song, Yu and Mukasa, Daniel and Zhang, Haixia and Gao, Wei (2021) Self-Powered Wearable Biosensors. Accounts of Materials Research, 2 (3). pp. 184-197. ISSN 2643-6728. doi:10.1021/accountsmr.1c00002.

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Wearable biosensors hold the potential of revolutionizing personalized healthcare and telemedicine. Advances in chemical sensing, flexible materials, and scalable manufacturing techniques now allow wearables to detect key physiological indicators such as temperature, vital signs, body motion, and molecular biomarkers. With these systems operating on the skin, they enable continuous and noninvasive disease diagnosis and health monitoring. Such complex devices, however, require suitable power sources in order to realize their full capacity. Emerging wearable energy harvesters are attractive for addressing the challenges of a wearable power supply. These harvesters convert various types of ambient energy sources (e.g., biomechanical energy, biochemical energy, and solar energy) into electricity. In some circumstances, the harvested electrical signals can directly be used for active sensing of physiological parameters. On the other hand, single or hybrid wearable energy harvesters, when integrated with power management circuits and energy storage devices, could power additional biosensors as well as signal processing and data transmission electronics. Self-powered sensor systems operate continuously and sustainably without an external power supply are promising candidates in the next generation of wearable electronics and the Internet of Things. This Account highlights recent progress in self-powered wearable sensors toward personalized healthcare, covering biosensors, energy harvesters, energy storage, and power supply strategies. The Account begins with an introduction of our wearable biosensors toward an epidermal detection of physiological information. Advances in structural and material innovations enable wearable systems to measure both biophysical and biochemical indicators conformably, accurately, and continuously. We then discuss emerging technologies in wearable energy harvesting, classified according to their capability to scavenge energy from various sources. These include examples of using energy harvesters themselves as active biosensors. Through seamless integration and efficient power management, self-powered wireless wearable sensor systems allow real-time data acquisition, processing, and transmission for health monitoring. The final section of the Account covers the existing challenges and new opportunities for self-powered wearable sensors in health monitoring and human–machine interfaces toward personalized and precision medicine.

Item Type:Article
Related URLs:
URLURL TypeDescription
Song, Yu0000-0002-4185-2256
Mukasa, Daniel0000-0001-8379-3648
Gao, Wei0000-0002-8503-4562
Additional Information:© 2021 Accounts of Materials Research. Co-published by ShanghaiTech University and American Chemical Society. This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes. Received: January 4, 2021; Revised: January 28, 2021; Published: February 14, 2021. This work was supported by the Tobacco Related-Disease Research Program at UCOP (T31IP1666), the Rothenberg Innovation Initiative (RI(2)) at California Institute of Technology, and American Heart Association (19TPA34850157). The authors declare no competing financial interest.
Funding AgencyGrant Number
California Tobacco-Related Disease Research ProgramT31IP1666
Rothenberg Innovation Initiative (RI2)UNSPECIFIED
American Heart Association19TPA34850157
Subject Keywords:Wearable electronics, Sensors, Power, Self-powered dynamic systems, Solar energy
Issue or Number:3
Record Number:CaltechAUTHORS:20210217-074206982
Persistent URL:
Official Citation:Self-Powered Wearable Biosensors. Yu Song, Daniel Mukasa, Haixia Zhang, and Wei Gao. Accounts of Materials Research 2021 2 (3), 184-197; DOI: 10.1021/accountsmr.1c00002
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108083
Deposited By: Tony Diaz
Deposited On:18 Feb 2021 18:43
Last Modified:29 Mar 2021 17:33

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