PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 15, 2024Nature Communications64 citationsOpen Access

Triboelectric micro-flexure-sensitive fiber electronics

View Full Paper
SLShaomei LinWYWeifeng YangXZXubin Zhu

Key Points

Key points are not available for this paper at this time.

Abstract

Abstract Developing fiber electronics presents a practical approach for establishing multi-node distributed networks within the human body, particularly concerning triboelectric fibers. However, realizing fiber electronics for monitoring micro-physiological activities remains challenging due to the intrinsic variability and subtle amplitude of physiological signals, which differ among individuals and scenarios. Here, we propose a technical approach based on a dynamic stability model of sheath-core fibers, integrating a micro-flexure-sensitive fiber enabled by nanofiber buckling and an ion conduction mechanism. This scheme enhances the accuracy of the signal transmission process, resulting in improved sensitivity (detectable signal at ultra-low curvature of 0.1 mm −1 ; flexure factor >21.8% within a bending range of 10°.) and robustness of fiber under micro flexure. In addition, we also developed a scalable manufacturing process and ensured compatibility with modern weaving techniques. By combining precise micro-curvature detection, micro-flexure-sensitive fibers unlock their full potential for various subtle physiological diagnoses, particularly in monitoring fiber upper limb muscle strength for rehabilitation and training.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lin et al. (2024) studied this question.

synapsesocial.com/papers/68e73cb2b6db6435876b5f46https://doi.org/10.1038/s41467-024-46516-0
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial tactile perception smart finger for material identification based on triboelectric sensing2022 · 351 citations
  2. 2Piezoionic mechanoreceptors: Force-induced current generation in hydrogels2022 · 450 citations
  3. 3Bioinspired Ionic Sensory Systems: The Successor of Electronics2020 · 178 citations
  4. 4An artificial neural tactile sensing system2021 · 437 citations
  5. 5A non-printed integrated-circuit textile for wireless theranostics2021 · 159 citations