摩擦电效应
可穿戴计算机
领域
康复
可穿戴技术
医疗器械
计算机科学
多样性(控制论)
纳米技术
人机交互
人工智能
医学
生物医学工程
材料科学
嵌入式系统
物理疗法
复合材料
政治学
法学
作者
Jaejun Yu,Xin Lv,Kai Wang
出处
期刊:ACS applied electronic materials
[American Chemical Society]
日期:2024-08-16
标识
DOI:10.1021/acsaelm.4c01055
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.
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