Applications of Triboelectric Nanogenerators in Medical Recovery: A Review

被引:2
|
作者
Yu, Jun [1 ]
Lv, Xin [2 ,3 ]
Wang, Kai [2 ]
机构
[1] Qingdao Univ, Coll Elect & Informat, Qingdao 266071, Peoples R China
[2] Qingdao Univ, Weihai Innovat Res Inst, Sch Elect Engn, Qingdao 266000, Peoples R China
[3] Shandong Suoxiang Intelligent Technol Co Ltd, Weifang 261101, Peoples R China
关键词
Triboelectric nanogenerator; Medical recovery; Artificial intelligence; Self-powered sensor; Healthydiagnosis; ENERGY; GENERATOR;
D O I
10.1021/acsaelm.4c01055
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The extensive application of autonomous devices based on triboelectric nanogenerators (TENGs) has shown promising results for medical recovery. These TENG-integrated sensors can collect patient data over extended periods, providing reliable information on a variety of physiological indicators, which are instrumental for artificial intelligence (AI) applications. Analyses of AI outcomes suggest that TENG-based devices possess significant potential within medical recovery systems. This paper explores the potential uses of wearable, patch, implantable, and noncontact TENGs across clinical therapy, electrical stimulation recovery, anti-inflammatory treatments, medication administration and detection, and rehabilitation support. Currently, TENG applications, which synergize artificial intelligence and human-computer interaction, are predominantly focused on medical recovery. In the realm of medical rehabilitation, AI-driven TENG systems are anticipated to be considered for implementation and are expected to play a crucial role in the future.
引用
收藏
页码:5465 / 5478
页数:14
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