Min Li, Wenhao Li, Menghan Pi, Longyu Hu, Honglin Wu, Zihe Liu, Wei Cui, Rong Ran
Epidermal bioelectrodes must possess both static and dynamic mechanical compatibility to ensure high-fidelity acquisition of bioelectrical signals. Static properties, particularly adhesion and mechanical flexibility, are essential for conformal contact with skin and reduced interfacial mismatch, while dynamic viscoelasticity helps dissipate mechanical energy and mitigate motion-induced artifacts. Here, we present a tendril-inspired gel constructed by incorporating polyethylene glycol (PEG) oligomers and lithium ions into a poly(methacrylic acid) (PMAA) network. In this bioinspired architecture, the long PMAA chains act as the main stems, and the short PEG oligomers function as tendrils that are anchored within the network through lithium-mediated ternary coordination. As a result, the gel exhibits high toughness, robust adhesion, and broadband damping performance across wide frequency and temperature ranges. When used as an epidermal bioelectrode, the gel enables stable, high-fidelity electrophysiological signal collection during routine human activities. Coupled with deep-learning-assisted electromyography (EMG) analysis, it further allows accurate motion recognition. This work provides a promising materials design strategy for intelligent wearable bioelectronics.