Fountain-inspired triboelectric nanogenerator as rotary energy harvester and self-powered intelligent sensor DOI
Gefan Yin,

Xuexiu Liang,

Ying Zhang

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110779 - 110779

Published: Feb. 1, 2025

Language: Английский

Triboelectric nanogenerators as wearable power sources and self-powered sensors DOI
Xiong Pu, Chi Zhang, Zhong Lin Wang

et al.

National Science Review, Journal Year: 2022, Volume and Issue: 10(1)

Published: Aug. 29, 2022

Smart wearable technologies are augmenting human bodies beyond our biological capabilities in communication, healthcare and recreation. Energy supply information acquisition essential for electronics, whereas the increasing demands multifunction raising requirements energy sensor devices. The triboelectric nanogenerator (TENG), proven to be able convert various mechanical energies into electricity, can fulfill either of these two functions therefore has drawn extensive attention research efforts worldwide. everyday life a body produces considerable and, meantime, communicates mainly through signals, such as sound, gestures muscle movements. Therefore, TENG been intensively studied serve sources or self-powered sensors. Herein, recent finding on fundamental understanding TENGs is revisited briefly, followed by summary advancements TENG-based power challenges prospects this area given well.

Language: Английский

Citations

126

Self-Powered Sensing in Wearable Electronics─A Paradigm Shift Technology DOI Creative Commons
Wei Tang, Qijun Sun, Zhong Lin Wang

et al.

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(21), P. 12105 - 12134

Published: Oct. 23, 2023

With the advancements in materials science and micro/nanoengineering, field of wearable electronics has experienced a rapid growth significantly impacted transformed various aspects daily human life. These devices enable individuals to conveniently access health assessments without visiting hospitals provide continuous, detailed monitoring create comprehensive data sets for physicians analyze diagnose. Nonetheless, several challenges continue hinder practical application electronics, such as skin compliance, biocompatibility, stability, power supply. In this review, we address supply issue examine recent innovative self-powered technologies electronics. Specifically, explore sensors systems, two primary strategies employed field. The former emphasizes integration nanogenerator sensing units, thereby reducing overall system consumption, while latter focuses on utilizing sources drive entire system. Finally, present future perspectives

Language: Английский

Citations

89

A Self‐Powered and Self‐Sensing Lower‐Limb System for Smart Healthcare DOI
Lingji Kong, Zheng Fang, Tingsheng Zhang

et al.

Advanced Energy Materials, Journal Year: 2023, Volume and Issue: 13(31)

Published: June 29, 2023

Abstract In the age of artificial intelligence things (AIoT), wearable devices have been extensively developed for smart healthcare. This paper proposes a self‐powered and self‐sensing lower‐limb system (SS‐LS) with negative energy harvesting motion capture The SS‐LS achieves self‐sustainability via half‐wave electromagnetic generator (HW‐EMG) that recovers work from walking low cost harvesting. Additionally, function is achieved by three‐channel triboelectric nanogenerator (TC‐TENG) based on binary code, which can accurately detect angle direction knee joint rotation. bench test experiment indicates HW‐EMG has an average output power 11.2 mW, sufficient to wireless sensor. voltage signal TC‐TENG fits well signal, precisely Furthermore, demonstrates identification accuracy 99.68% detection 99.96% LSTM deep learning model. Demonstrations Parkinson's disease fall monitoring three training modes (sit‐and‐stand, balance, training) are also performed, exhibit outstanding sensing capabilities. highly promising in sports rehabilitation medicine contribute development

Language: Английский

Citations

63

Advances in health rehabilitation devices based on triboelectric nanogenerators DOI
Yansong Gai, Yonggang Jiang, Zhou Li

et al.

Nano Energy, Journal Year: 2023, Volume and Issue: 116, P. 108787 - 108787

Published: Aug. 15, 2023

Language: Английский

Citations

43

Self-powered porous polymer sensors with high sensitivity for machine learning-assisted motion and rehabilitation monitoring DOI
Liqiang Liu, Jun Li,

Zhiyu Tian

et al.

Nano Energy, Journal Year: 2024, Volume and Issue: 128, P. 109817 - 109817

Published: May 31, 2024

Language: Английский

Citations

26

Bioinspired Smart Triboelectric Soft Pneumatic Actuator‐Enabled Hand Rehabilitation Robot DOI Open Access
Wei Li, Fengjiao Luo, Yuan Liu

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Abstract Quantitative assessment for post‐stroke spasticity remains a significant challenge due to the encountered variable resistance during passive stretching, which can lead widely used modified Ashworth scale (MAS) depending heavily on rehabilitation physicians. To address these challenges, high‐force‐output triboelectric soft pneumatic actuator (TENG‐SPA) inspired by lobster tail is developed. The bioinspired TENG‐SPA generate approximately 20 N at 0.1 MPa, providing sufficient stretching force spastic fingers. anti‐interference, durability, and electrical output characteristics of under varying conditions—such as different air pressures, bending frequencies, simulated finger stretching—are explored, demonstrating TENG‐SPA's ability sense process. Furthermore, TENG‐SPA‐enabled hand robot system integrated with convolutional neural network (CNN) further developed, tested in clinical trial involving 15 stroke patients. results have demonstrated that classification accuracy levels reaches 93.3% MAS scores predicted CNN regression model exhibit strong linear relationship actual ( R 2 = 0.8451, p < 0.01). This study presents promising potential applications digital medicine, human–machine interaction, biomedicine, related fields.

Language: Английский

Citations

2

Rehabilitation of Total Knee Arthroplasty by Integrating Conjoint Isometric Myodynamia and Real‐Time Rotation Sensing System DOI Creative Commons
Jianzhe Luo, Yusheng Li, Miao He

et al.

Advanced Science, Journal Year: 2022, Volume and Issue: 9(8)

Published: Jan. 17, 2022

Abstract As the world population structure has already exhibited an inevitable trend of aging, technical advances that can provide better eldercare are highly desired. Knee osteoarthritis, one most common age‐associated diseases, be effectively treated via total knee arthroplasty (TKA). However, patients suffering from recovery process due to inconvenience in post‐hospital treatment. Here, a portable, modular, and wearable brace for self‐assessment TKA patients’ rehabilitation is reported. This system mainly consists force transducer isometric muscle strength measurement active angle sensor bending detection. Clinical experiments on demonstrate feasibility significance system. Specifically, brace‐based personalized healthcare, quantified terms myodynamia, definite enhancement obtained. Additionally, new indicators, is, test score, evaluating proposed. It anticipated that, as cloud database employed more data collected near future, not only facilitate rehabilitations patients, but also improve life quality geriatric open space remote artificial intelligence medical engineering.

Language: Английский

Citations

48

Consumer-Centric Internet of Medical Things for Cyborg Applications Based on Federated Reinforcement Learning DOI
Prayag Tiwari, Abdullah Lakhan, Rutvij H. Jhaveri

et al.

IEEE Transactions on Consumer Electronics, Journal Year: 2023, Volume and Issue: 69(4), P. 756 - 764

Published: Feb. 7, 2023

The Internet of Medical Things (IoMT) is the new digital healthcare application paradigm that offers many services to users. IoMT-based emerging applications such as cyborgs, combination advanced artificial intelligence (AI) robots, and doctors performing surgical operations remotely from hospitals patients in their homes. For instance, robot-based knee replacement procedures, thigh medical care real-time performance monitoring systems are cyborg applications. paper introduces multi-agent federated reinforcement learning policy (MFRLP) indicated mobile fog agents based on socket remote procedure call (RPC) paradigm. goal design a consumer-centric cyborg-efficient training testing system executes overall mechanism with minimum delays IoMT system. study develops RPC adopts dynamic changes environment for As result, MFRLP minimized environments by 50%, local processing time 40%, 50% compared existing machine (ML) methods code publicly available at https://github.com/prayagtiwari/CIoMT .

Language: Английский

Citations

34

Recent Progress in Application‐Oriented Self‐Powered Microelectronics DOI
Lingfei Qi, Lingji Kong, Yuan Wang

et al.

Advanced Energy Materials, Journal Year: 2023, Volume and Issue: 13(47)

Published: Nov. 1, 2023

Abstract With the rapid development of Internet Things (IoTs), numerous distributed wide‐area low‐power electronic devices have been utilized in various fields, such as wireless monitoring sensors and wearable electronics. Due to dispersion mobility microelectronic devices, their energy supply faces serious challenges. The inconvenience non‐environmental friendliness using traditional centralized low entropy chemical batteries power are becoming increasingly prominent. Environmental harvesting technology with high characteristics is considered an effective solution for devices. This paper comprehensively reviews recent progress technologies based on signal sensing. First, state‐of‐the‐art micro‐power humans, animals, environment introduced. Secondly, available micro‐energy sources environmentare elaborated summarized. Then, principles ambient microenergy different mechanisms classified, summarized, analyzed. In addition, this work summarizes applications self‐powered micro‐electronics 11 including human, animal, environment. Finally, research challenges, technical difficulties, gaps microelectronics discussed

Language: Английский

Citations

32

A wearable muscle telescopic monitoring sensor with an adjustable double-sponge-modular structure based on triboelectric nanogenerator DOI
Yu Gao, Haijun Luo, Xue Wang

et al.

Nano Energy, Journal Year: 2024, Volume and Issue: 123, P. 109412 - 109412

Published: Feb. 25, 2024

Language: Английский

Citations

14