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Get Free AccessDriven by the rapid evolution of flexible electronics, rehabilitation healthcare is shifting toward devices that seamlessly interface with human body. Yet, existing solutions often simply layer flexible sensor units over rigid components, making it difficult to combine high elasticity, mechanical robustness, and true imperceptibility. Here, we are pioneering a super-tough (∼54.7 MPa) and highly stretchable (>400% strain) triboelectric webbing (T-webbing) that overcomes this long-standing trade-off through the synergistic integration of an embedded textured architecture and functional elastic yarns. The T-webbing supports mass customization, exhibits outstanding electrical durability (>100 000 cycles), and enables reliable self-powered sensing capability with tunable mechanical properties for diverse rehabilitation tasks. In a proof-of-concept demonstration, the T-webbing is seamlessly integrated into a machine-learning-enabled lower-limb rehabilitation platform, achieving a motion recognition accuracy of 97.9% while enabling seamless one-click data sharing, intuitive human-machine interaction, and real-time remote guidance. By bridging high mechanical resilience with imperceptible wearability, our study offers a brand-new solution for data-driven, high-compliance, home-based rehabilitation within the Internet-of-Things ecosystem-addressing a pressing clinical need for scalable, patient-friendly solutions.
Wei Wang, Yulong Wang, Di Guo, Shidai Tian, Shuhui Wang, Qichang Hu, Aifang Yu, Zhong Lin Wang, Junyi Zhai (2026). Ultra‐Robust and Hyperelastic Triboelectric Webbing for Self‐Powered Rehabilitation Sensing with Invisible and Embedded Design. , DOI: https://doi.org/10.1002/adma.73094.
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Type
Article
Year
2026
Authors
9
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1002/adma.73094
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