Wang Weiwen, Xu Liqiang, Wang Dong, Zhang Aimin, Zhang Jihai
State Key Laboratory of Advanced Polymer Materials, Polymer Research Institute, Sichuan University, Chengdu, 610065, China.
Small. 2025 Aug;21(34):e2504424. doi: 10.1002/smll.202504424. Epub 2025 Jul 15.
Self-powered elastomeric fiber-based sensors have been widely applied in the fields of smart wearables and beyond, due to their flexibility and lack of need for an external power source. This review summarizes the recent research progress on wearable self-powered integrated sensors based on elastomeric fiber substrates, providing a detailed description of their fabrication methods, working principles, and applications. Based on their composition and working principles, the self-powered integrated sensing systems include energy harvester devices, energy storage devices, sensors, and integrated systems, respectively. An overview of their applications in the fields of biophysical signal detection, electrophysiological signal detection, and human-machine interaction is also provided. By integrating self-powered technology with sensing, data processing, wireless transmission, and other functions, a self-powered wearable sensing system that can monitor, analyze, and transmit data in real time has been developed, providing a more comprehensive solution for personalized medicine and health management. Additionally, the current challenges and future perspectives of self-powered integrated sensors are also proposed.
基于弹性纤维的自供电传感器因其柔韧性和无需外部电源的特点,已在智能可穿戴设备及其他领域得到广泛应用。本综述总结了基于弹性纤维基板的可穿戴自供电集成传感器的最新研究进展,详细描述了其制造方法、工作原理及应用。基于其组成和工作原理,自供电集成传感系统分别包括能量收集装置、能量存储装置、传感器和集成系统。还概述了它们在生物物理信号检测、电生理信号检测和人机交互领域的应用。通过将自供电技术与传感、数据处理、无线传输等功能相结合,开发出了一种能够实时监测、分析和传输数据的自供电可穿戴传感系统,为个性化医疗和健康管理提供了更全面的解决方案。此外,还提出了自供电集成传感器当前面临的挑战和未来展望。