Issue

Vol. 17 (2025)

Skin-Friendly Large Matrix Iontronic Sensing Meta-Fabric for Spasticity Visualization and Rehabilitation Training via Piezo-Ionic Dynamics

https://doi.org/10.1007/s40820-024-01566-3
Ruidong Xu
Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio‑Fibers and Eco‑Textiles, Health&Protective Smart Textile Research Center of Qingdao, Qingdao University, Qingdao 266071, People’s Republic of China
Tong Xu
Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio‑Fibers and Eco‑Textiles, Health&Protective Smart Textile Research Center of Qingdao, Qingdao University, Qingdao 266071, People’s Republic of China
Minghua She
Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio‑Fibers and Eco‑Textiles, Health&Protective Smart Textile Research Center of Qingdao, Qingdao University, Qingdao 266071, People’s Republic of China
Xinran Ji
Academy of Arts & Design of Qingdao University, Qingdao 266071, People’s Republic of China
Ganghua Li
Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio‑Fibers and Eco‑Textiles, Health&Protective Smart Textile Research Center of Qingdao, Qingdao University, Qingdao 266071, People’s Republic of China
Shijin Zhang
Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio‑Fibers and Eco‑Textiles, Health&Protective Smart Textile Research Center of Qingdao, Qingdao University, Qingdao 266071, People’s Republic of China
Xinwei Zhang
Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio‑Fibers and Eco‑Textiles, Health&Protective Smart Textile Research Center of Qingdao, Qingdao University, Qingdao 266071, People’s Republic of China
Hong Liu
Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio‑Fibers and Eco‑Textiles, Health&Protective Smart Textile Research Center of Qingdao, Qingdao University, Qingdao 266071, People’s Republic of China
Bin Sun
College of Electronics and Information, Qingdao University, Qingdao 266071, People’s Republic of China
Guozhen Shen
School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
Mingwei Tian
Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio‑Fibers and Eco‑Textiles, Health&Protective Smart Textile Research Center of Qingdao, Qingdao University, Qingdao 266071, People’s Republic of China

Corresponding Author: Mingwei Tian

mwtian@qdu.edu.cn

Nano-Micro Letters, Vol. 17 (2025), Article Number: 90

Abstract

Rehabilitation training is believed to be an effectual strategy that can reduce the risk of dysfunction caused by spasticity. However, achieving visualization rehabilitation training for patients remains clinically challenging. Herein, we propose visual rehabilitation training system including iontronic meta-fabrics with skin-friendly and large matrix features, as well as high-resolution image modules for distribution of human muscle tension. Attributed to the dynamic connection and dissociation of the meta-fabric, the fabric exhibits outstanding tactile sensing properties, such as wide tactile sensing range (0 ~ 300 kPa) and high-resolution tactile perception (50 Pa or 0.058%). Meanwhile, thanks to the differential capillary effect, the meta-fabric exhibits a “hitting three birds with one stone” property (dryness wearing experience, long working time and cooling sensing). Based on this, the fabrics can be integrated with garments and advanced data analysis systems to manufacture a series of large matrix structure (40 × 40, 1600 sensing units) training devices. Significantly, the tunability of piezo-ionic dynamics of the meta-fabric and the programmability of high-resolution imaging modules allow this visualization training strategy extendable to various common disease monitoring. Therefore, we believe that our study overcomes the constraint of standard spasticity rehabilitation training devices in terms of visual display and paves the way for future smart healthcare.


Highlights:
1 The iontronic meta-fabric exhibits a “hitting three birds with one stone” property, breaking through the bottleneck that traditional film materials (PDMS) cannot balance comfort and durability.
2 The meta-fabrics can be integrated with garments and advanced data analysis systems to manufacture a series of large matrix structure (> 40 × 40, 1600 sensing units) rehabilitation training devices, overcoming the bottleneck of low matrix integration of traditional iontronic devices (< 10 × 10, 100 sensing units).

Keywords

Skin-friendly Large matrix Iontronic meta-fabric Spasticity visualization rehabilitation training
Xu, Ruidong, Tong Xu, Minghua She, Xinran Ji, Ganghua Li, Shijin Zhang, Xinwei Zhang, Hong Liu, Bin Sun, Guozhen Shen, and Mingwei Tian. 2024. “Skin-Friendly Large Matrix Iontronic Sensing Meta-Fabric for Spasticity Visualization and Rehabilitation Training via Piezo-Ionic Dynamics”. Nano-Micro Letters 17 (December):90. https://doi.org/10.1007/s40820-024-01566-3.
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