Traditional conductive hydrogels suffer from intrinsic mechanical brittleness (typically 91% signal retention after 5000 stretching cycles at 100% strain, with a rapid response time of 167 ± 9 ms, enabling high-fidelity monitoring of joint motions and physiological pulses. When integrated with machine learning, the system enabled Morse-code communication and achieved a gesture-recognition accuracy exceeding 93%. This study provides a simple and feasible strategy for constructing ultratough, fatigue-resistant conductive hydrogels for next-generation durable bioelectronic devices.
Wang et al. (Mon,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: