Author
Listed:
- Chanho Park
(Northwestern University
Northwestern University)
- Do Yun Park
(Korea Advanced Institute of Science and Technology)
- Haohui Zhang
(Northwestern University)
- Da Som Yang
(Chung-Ang University)
- Catherine R. Redden
(Ann and Robert H. Lurie Children’s Hospital of Chicago)
- Seonggwang Yoo
(Northwestern University
Northwestern University
Inje University)
- Tae Wan Park
(Northwestern University
Northwestern University)
- Mingyu Zhou
(Northwestern University
Northwestern University
Northwestern University)
- Jae-Young Yoo
(Sungkyunkwan University)
- Youngmin Sim
(Korea Advanced Institute of Science and Technology)
- Abraham Vázquez-Guardado
(North Carolina State University
North Carolina State University)
- Seung Yun Heo
(Northwestern University
Northwestern University)
- Raudel Avila
(Rice University)
- Zhao-Bang Hou
(Tsinghua University)
- Jiwon Kim
(Sungkyunkwan University (SKKU))
- Hak-Young Ahn
(Northwestern University
Northwestern University)
- Youngdo Kim
(Northwestern University
Northwestern University)
- Seyong Oh
(Hanyang University ERICA)
- Jae-Hwan Kim
(Northwestern University
Northwestern University)
- Jason Baek
(Northwestern University)
- Anthony Banks
(Northwestern University
Northwestern University)
- Aimen F. Shaaban
(Ann and Robert H. Lurie Children’s Hospital of Chicago
Northwestern University Feinberg School of Medicine)
- Yonggang Huang
(Northwestern University
Northwestern University
Northwestern University
Northwestern University)
- Kyeongha Kwon
(Korea Advanced Institute of Science and Technology
Korea Advanced Institute of Science and Technology)
- John A. Rogers
(Northwestern University
Northwestern University
Northwestern University
Northwestern University)
Abstract
The increasing demand for continuous, comprehensive physiological information captured by skin-interfaced wireless sensors is hindered by their relatively high-power consumption and the associated patient discomfort that can follow from the use of high capacity batteries. This paper presents an adaptive electronics platform and a tri-modal energy harvesting approach to reduce the need for battery power. Specifically, the schemes focus on sensors that involve light in their operation, through use of (i) photometric methods, where ambient light contributes directly to the measurement process, (ii) multijunction photovoltaic cells, where ambient light powers operation and/or charges an integrated battery, and (iii) photoluminescent packaging, where ambient light activates light-emitting species to enhance the first two schemes. Additional features of interest are in (i) in-sensor computational approaches that decrease the bandwidth and thus the energy consumption in wireless data communication and (ii) radio frequency power transfer for battery charging. These ideas have utility across broad other classes of wearable devices as well as small, portable electronic gadgetry.
Suggested Citation
Chanho Park & Do Yun Park & Haohui Zhang & Da Som Yang & Catherine R. Redden & Seonggwang Yoo & Tae Wan Park & Mingyu Zhou & Jae-Young Yoo & Youngmin Sim & Abraham Vázquez-Guardado & Seung Yun Heo & R, 2025.
"Adaptive electronics for photovoltaic, photoluminescent and photometric methods in power harvesting for wireless wearable sensors,"
Nature Communications, Nature, vol. 16(1), pages 1-17, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60911-1
DOI: 10.1038/s41467-025-60911-1
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