2026-10-10T11:01:38Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33969542 2026-09-23T02:04:25Z category_1 category_15 category_16 category_21 category_734 category_106 category_122 portal_63 item_type_2 month_year_09_2026

Relaxation Piezoionic Hydrogel for Self-Powered, Self-Decoupled Monitoring of Finger Rehabilitation Yuxiu Yao (25092626) Chenhui Bai (11211062) Yilong Yang (827816) Xinru Yang (12692726) Zhichao Gao (4261183) Yuanli Zhao (7369940) Xiaojing Cui (1469791) Hulin Zhang (1449625) Biophysics Neuroscience Physiology Biotechnology Biological Sciences not elsewhere classified Science Policy Mental Health relaxation piezoionic effect positive piezoionic voltage multiphysics simulations show mechanically trained poly impaired release control enabling electrical readout deformation recovery rate relaxation piezoionic hydrogel hand rehabilitation monitoring rehabilitation assessment decoupled monitoring work provides stress magnitude personalized healthcare multichannel platform motion analysis hydrogel produces design principle bioelectronic platforms autonomous strategy 20 mv 18 mv Hand motor dysfunction involves limited finger flexion and impaired release control, making finger flexion angles and active relaxation ability key metrics for rehabilitation assessment. However, existing flexible electronics quantify deformation amplitude, while deformation rate remains difficult to read out directly. Here, we report a mechanically trained poly(vinyl alcohol)-NaCl hydrogel with the relaxation piezoionic effect for self-powered, self-decoupled monitoring of stress magnitude and acceleration. The hydrogel produces a positive piezoionic voltage above 20 mV during compression and a reverse relaxation piezoionic voltage above 18 mV during unloading. Experiments and multiphysics simulations show that the reverse piezoionic voltage correlates with deformation recovery rate, enabling electrical readout of unloading speed. The hydrogel is further integrated into a multichannel platform for real-time finger rehabilitation visualization. This work provides an autonomous strategy for hand rehabilitation monitoring and a design principle for bioelectronic platforms in motion analysis, human–machine interaction, and personalized healthcare. 2026-09-22T00:00:00Z Dataset Media 10.1021/acs.nanolett.6c03647.s003 https://figshare.com/articles/media/Relaxation_Piezoionic_Hydrogel_for_Self-Powered_Self-Decoupled_Monitoring_of_Finger_Rehabilitation/33969542 CC BY-NC 4.0