Skip to main navigation Skip to search Skip to main content

TENG-Based Wearable Sensors for Continuous Self-Powered Health Monitoring

  • Jinjie Duan
  • , Yuning Lei
  • , Zhuo Liu
  • , Yu Song
  • , Yuxiang Wu*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

10 Downloads (CityUHK Scholars)

Abstract

Against the backdrop of advancements in the Internet of Things and smart healthcare, triboelectric nanogenerators (TENGs) have demonstrated notable capabilities in converting low-frequency mechanical energy—such as human respiration, pulse, and gait—into electrical energy. By coupling triboelectric charging with electrostatic induction, TENGs have evolved into a functional technology for integrated self-powering and sensing. In recent years, TENG-based physiological signal detection has undergone significant development, transitioning from single-signal monitoring to multimodal integration and from laboratory prototypes to systems with practical utility. This paper systematically reviews the core working principles and theoretical models of TENGs, focusing on their applications in wearable physiological parameter acquisition. It summarizes technical developments in material innovation, structural optimization, and system integration. Finally, the paper outlines future directions addressing challenges such as energy density and environmental interference, aiming to provide systematic guidance for advancing this field from fundamental research toward robust, high-performance wearable health monitoring systems. © 2026 The Author(s). Advanced Sensor Research published by Wiley-VCH GmbH.
Original languageEnglish
Article numbere00198
JournalAdvanced Sensor Research
Volume5
Issue number3
Online published18 Mar 2026
DOIs
Publication statusPublished - Mar 2026

Funding

This research was funded by the Scientific Research Project of Hubei Provincial Department of Education (Grant No. T2024036).

Research Keywords

  • physiological signals
  • self-powered
  • TENG
  • wearable

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

Fingerprint

Dive into the research topics of 'TENG-Based Wearable Sensors for Continuous Self-Powered Health Monitoring'. Together they form a unique fingerprint.

Cite this