Advances in Textile‐Based Triboelectric Sensors for Physiological Signal Monitoring

Abstract The incorporation of sensing and therapeutic capabilities into everyday textiles can be an effective approach for the development of continuous and wearable sensors. Textile‐based triboelectric sensors are ideal candidates for capturing tiny physiological signals of the human body to prevent chronic diseases owing to their compelling features of high sensitivity, excellent breathability, and programmable structure. In this review, the working mechanisms, material selection, manufacturing techniques, and structural designs of textile‐constructed triboelectric nanogenerators are comprehensively presented. An in‐depth analysis of physiological signal monitoring applications ranging from cardiovascular monitoring, electrocardiogram, electromyography, respiratory monitoring, and sleep monitoring to exercise monitoring is thoughtfully demonstrated. Furthermore, a closed‐loop smart textile wearable system, including active sensing, energy supply, real‐time feedback, data processing, and healthcare, is proposed to address major challenges and bottlenecks in wearable technology. It is expected that this review will provide the audience with some universal strategies and novel ideas for conducting in‐depth research on textile‐based triboelectric sensors with improved performance.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-04-08
DOI
https://doi.org/10.1002/adfm.202426081
Citations
12
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
8.09

Funders

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

Advances in Textile‐Based Triboelectric Sensors for Physiological Signal Monitoring

Xuhui Sun, Yunchu Shen, Zhen Wen, Zifan Jiang et al.
12 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
8.09
article

Advances in Textile‐Based Triboelectric Sensors for Physiological Signal Monitoring

Xuhui Sun, Yunchu Shen, Zhen Wen, Zifan Jiang, Yina Liu, Jiayi Wang, Shuai Wang, H Y Huang, Shaokuan Wu
article en
12 citations

Abstract

Abstract The incorporation of sensing and therapeutic capabilities into everyday textiles can be an effective approach for the development of continuous and wearable sensors. Textile‐based triboelectric sensors are ideal candidates for capturing tiny physiological signals of the human body to prevent chronic diseases owing to their compelling features of high sensitivity, excellent breathability, and programmable structure. In this review, the working mechanisms, material selection, manufacturing techniques, and structural designs of textile‐constructed triboelectric nanogenerators are comprehensively presented. An in‐depth analysis of physiological signal monitoring applications ranging from cardiovascular monitoring, electrocardiogram, electromyography, respiratory monitoring, and sleep monitoring to exercise monitoring is thoughtfully demonstrated. Furthermore, a closed‐loop smart textile wearable system, including active sensing, energy supply, real‐time feedback, data processing, and healthcare, is proposed to address major challenges and bottlenecks in wearable technology. It is expected that this review will provide the audience with some universal strategies and novel ideas for conducting in‐depth research on textile‐based triboelectric sensors with improved performance.

Advanced Functional MaterialsVol. 35(37)
Soochow University (CN), Xi’an Jiaotong-Liverpool University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Collaborative Innovation Center of Suzhou Nano Science and Technology, Higher Education Discipline Innovation Project
Openalex Percentile: Top 2%
Advanced Sensor and Energy Harvesting Materials
8.09
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.