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Developing excellent plantar pressure sensors for monitoring human motions by using highly compressible and resilient PMMA conductive iongels.

Authors :
Wang, Haifei
Lin, Guanhua
Lin, Yang
Cui, Yang
Chen, Gang
Peng, Zhengchun
Source :
Journal of Colloid & Interface Science. Aug2024, Vol. 668, p142-153. 12p.
Publication Year :
2024

Abstract

Schematic illustration of plantar pressure distribution visualization system including a 9-channel pressure sensor array, analog to digital converter, data analysis software, and operation interface. [Display omitted] Based on real-time detection of plantar pressure, gait recognition could provide important health information for rehabilitation administration, fatigue prevention, and sports training assessment. So far, such researches are extremely limited due to lacking of reliable, stable and comfortable plantar pressure sensors. Herein, a strategy for preparing high compression strength and resilience conductive iongels has been proposed by implanting physically entangled polymer chains with covalently cross-linked networks. The resulting iongels have excellent mechanical properties including nice compliance (young's modulus < 300 kPa), high compression strength (>10 MPa at a strain of 90 %), and good resilience (self-recovery within seconds). And capacitive pressure sensor composed by them possesses excellent sensitivity, good linear response even under very small stress (∼kPa), and long-term durability (cycles > 100,000) under high-stress conditions (133 kPa). Then, capacitive pressure sensor arrays have been prepared for high-precision detection of plantar pressure spatial distribution, which also exhibit excellent sensing performances and long-term stability. Further, an extremely sensitive and fast response plantar pressure monitoring system has been designed for monitoring plantar pressure of foot at different postures including upright, forward and backward. The system achieves real-time tracking and monitoring of changes of plantar pressure during different static and dynamic posture processes. And the characteristics of plantar pressure information can be digitally and photography displayed. Finally, we propose an intelligent framework for real-time detection of plantar pressure by combining electronic insoles with data analysis system, which presents excellent applications in sport trainings and safety precautions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00219797
Volume :
668
Database :
Academic Search Index
Journal :
Journal of Colloid & Interface Science
Publication Type :
Academic Journal
Accession number :
177198562
Full Text :
https://doi.org/10.1016/j.jcis.2024.04.137