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A Self‐Powered Dual Ratchet Angle Sensing System for Digital Twins and Smart Healthcare.

Authors :
Liu, Chao
Gu, Rui
Yang, Jiahong
Luo, Lin
Chen, Mingxia
Xiong, Yao
Huo, Ziwei
Liu, Yang
Zhang, Keteng
Gong, Jie
Wei, Liang
Lei, Yanqiang
Wang, Zhong Lin
Sun, Qijun
Source :
Advanced Functional Materials. May2024, p1. 12p. 7 Illustrations.
Publication Year :
2024

Abstract

In the swiftly progressing landscape of wearable electronics and the Internet of Things (IoTs), there is a burgeoning demand for devices that are lightweight, cost‐effective, and self‐powered. In this study, a self‐powered bidirectional knee joint motion monitoring system is introduced, leveraging a dual ratchet sensing (DRS) system fabricated using 3D printing technology. This approach offers substantial economic and portability benefits. The DRS system is engineered to harness the negative work generated from knee joint movements to power commercial electronic devices, obviating the need for additional metabolic energy from the human body. By synergizing the DRS with virtual reality technology, it becomes feasible to monitor knee joint movements in real‐time with remarkable accuracy, presenting a novel avenue for the integration of digital twin technology. Through the amalgamation of convolutional neural network machine learning algorithms with Bayesian optimization techniques, the DRS system can discern up to 97% of knee joint movements, paving the way for innovative applications in smart rehabilitation and healthcare. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1616301X
Database :
Academic Search Index
Journal :
Advanced Functional Materials
Publication Type :
Academic Journal
Accession number :
177136330
Full Text :
https://doi.org/10.1002/adfm.202405104