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Array-Designed Triboelectric Nanogenerator for Healthcare Diagnostics: Current Progress and Future Perspectives

Authors :
Zequan Zhao
Qiliang Zhu
Yifei Wang
Muhammad Shoaib
Xia Cao
Ning Wang
Source :
Journal of Low Power Electronics and Applications, Vol 14, Iss 1, p 7 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Array-designed triboelectric nanogenerators (AD-TENGs) have firmly established themselves as state-of-the-art technologies for adeptly converting mechanical interactions into electrical signals. Central to the AD-TENG’s prowess is its inherent modularity and the multifaceted, grid-like design that pave the way to robust and adaptable detection platforms for wearables and real-time health monitoring systems. In this review, we aim to elucidate the quintessential role of array design in AD-TENGs for healthcare detection, emphasizing its ability to heighten sensitivity, spatial resolution, and dynamic monitoring while ensuring redundancy and simultaneous multi-detection. We begin from the fundamental aspects, such as working principles and design basis, then venture into methodologies for optimizing AD-TENGs that ensure the capture of intricate physiological changes, from nuanced muscle movements to sensitive electronic skin. After this, our exploration extends to the possible cutting-edge electronic systems that are built with specific advantages in filtering noise, magnifying signal-to-noise ratios, and interpreting complex real-time datasets on the basis of AD-TENGs. Culminating our discourse, we highlight the challenges and prospective pathways in the evolution of array-designed AD-TENGs, stressing the necessity to refine their sensitivity, adaptability, and reliability to perfectly align with the exacting demands of contemporary healthcare diagnostics.

Details

Language :
English
ISSN :
20799268
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Low Power Electronics and Applications
Publication Type :
Academic Journal
Accession number :
edsdoj.08413651baf8441e82a0a6dbf4d17d75
Document Type :
article
Full Text :
https://doi.org/10.3390/jlpea14010007