Flexible self-powered bioelectronics enables personalized health management from diagnosis to therapy

被引:3
作者
Yao, Guang [1 ,2 ,3 ]
Gan, Xingyi [1 ]
Lin, Yuan [1 ,2 ,4 ]
机构
[1] Univ Elect Sci & Technol China, Sch Mat & Energy, Chengdu 610054, Peoples R China
[2] Univ Elect Sci & Technol China, State Key Lab Elect Thin Films & Integrated Device, Chengdu 610054, Peoples R China
[3] Univ Elect Sci & Technol China, Shenzhen Inst Adv Study, Shenzhen 518110, Peoples R China
[4] Univ Elect Sci & Technol China, Med Engn Cooperat Appl Med Res Ctr, Chengdu 610054, Peoples R China
基金
中国国家自然科学基金;
关键词
Flexible bioelectronics; Self-powered; Sensing diagnosis; Intervention therapy; Health management; TRIBOELECTRIC NANOGENERATOR; SENSORS; SYSTEMS; DEVICES; RUBBER;
D O I
10.1016/j.scib.2024.05.012
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Flexible self-powered bioelectronics (FSPBs), incorporating flexible electronic features in biomedical applications, have revolutionized the human-machine interface since they hold the potential to offer natural and seamless human interactions while overcoming the limitations of battery-dependent power sources. Furthermore, as biosensors or actuators, FSPBs can dynamically monitor physiological signals to reveal real-time health abnormalities and provide timely and precise treatments. Therefore, FSPBs are increasingly shaping the landscape of health monitoring and disease treatment, weaving a sophisticated and personalized bond between humans and health management. Here, we examine the recent advanced progress of FSPBs in developing working mechanisms, design strategies, and structural configurations toward personalized health management, emphasizing its role in clinical medical scenarios from biophysical/biochemical sensors for sensing diagnosis to robust/biodegradable actuators for intervention therapy. Future perspectives on the challenges and opportunities in emerging multifunctional FSPBs for the next-generation health management systems are also forecasted. (c) 2024 Science China Press. Published by Elsevier B.V. and Science China Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:2289 / 2306
页数:18
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