All-in-one self-powered wearable biosensors systems

Wearable biosensors capable of long-term operation facilitate future precision medicine and personalized health monitoring by in-situ acquisition, real-time processing, and continuous transmission of biological signals. Self-powered technologies provide effective strategies to achieve the above goals, but make the entire bioelectronic system more complex. Ultimately, challenges of material engineering, miniaturization, and performance enhancement converge into the all-in-one engineering of self-powered wearable biosensor systems. Matching the power output of the energy module with the power consumption requirements of the signal module is the basic prerequisite for achieving all-in-one design. This review takes power as the entry point to comprehensively analyze and summarize the mechanisms, performance ranges, enhancement strategies, application examples, and future prospects of self-powered wearable biosensors. We review the principles, engineering strategies, and capabilities in energy collection, management, and storage of current self-powered technologies to determine the output power range and methods for performance enhancement. Next, we discuss and compare the strategies and mechanisms for signal acquisition, processing, and transmission, focusing on the performance, size, wearability and enhancement strategies of each module. Most importantly, we summarize the four representative all-in-one engineering strategies in the system, covering design principles, basic materials, targeted parts, integration levels, advantages and disadvantages. Finally, we outline key challenges and potential solutions for six modules in preparation for intelligent and networked sensing.

Authors

Publication Details

Journal
Materials Science and Engineering R Reports
Published
2025-02-08
DOI
https://doi.org/10.1016/j.mser.2025.100934
Citations
20
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
13.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

All-in-one self-powered wearable biosensors systems

Yuerui Lu, Xueqian Sun, Wenlong Cheng, Qianying Li et al.
20 citations
Materials Science and Engineering R Reports
Advanced Sensor and Energy Harvesting Materials
13.48
article

All-in-one self-powered wearable biosensors systems

Yuerui Lu, Xueqian Sun, Wenlong Cheng, Qianying Li, Dewei Chu, Xiaolin Wang, Yi Xi, Mingyuan Gao
article en
20 citations

Abstract

Wearable biosensors capable of long-term operation facilitate future precision medicine and personalized health monitoring by in-situ acquisition, real-time processing, and continuous transmission of biological signals. Self-powered technologies provide effective strategies to achieve the above goals, but make the entire bioelectronic system more complex. Ultimately, challenges of material engineering, miniaturization, and performance enhancement converge into the all-in-one engineering of self-powered wearable biosensor systems. Matching the power output of the energy module with the power consumption requirements of the signal module is the basic prerequisite for achieving all-in-one design. This review takes power as the entry point to comprehensively analyze and summarize the mechanisms, performance ranges, enhancement strategies, application examples, and future prospects of self-powered wearable biosensors. We review the principles, engineering strategies, and capabilities in energy collection, management, and storage of current self-powered technologies to determine the output power range and methods for performance enhancement. Next, we discuss and compare the strategies and mechanisms for signal acquisition, processing, and transmission, focusing on the performance, size, wearability and enhancement strategies of each module. Most importantly, we summarize the four representative all-in-one engineering strategies in the system, covering design principles, basic materials, targeted parts, integration levels, advantages and disadvantages. Finally, we outline key challenges and potential solutions for six modules in preparation for intelligent and networked sensing.

Materials Science and Engineering R ReportsVol. 163
National Natural Science Foundation of China, China Scholarship Council
Affordable and clean energy
Openalex Percentile: Top 1%
Advanced Sensor and Energy Harvesting Materials
13.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.