Department of Civil Engineering, Sharif University of Technology, Tehran 1458889694, Iran.
Department of Computer Science and Engineering, Qatar University, Doha P.O. Box 2713, Qatar.
Biosensors (Basel). 2022 Dec 27;13(1):37. doi: 10.3390/bios13010037.
Early clinical diagnosis and treatment of disease rely heavily on measuring the many various types of medical information that are scattered throughout the body. Continuous and accurate monitoring of the human body is required in order to identify abnormal medical signals and to locate the factors that contribute to their occurrence in a timely manner. In order to fulfill this requirement, a variety of battery-free and self-powered methods of information collecting have been developed. For the purpose of a health monitoring system, this paper presents smart wearable sensors that are based on triboelectric nanogenerators (TENG) and piezoelectric nanogenerators (PENG), as well as hybrid nanogenerators that combine piezoelectric and triboelectric nanogenerators (PTNG). Following the presentation of the PENG and TENG principles, a summary and discussion of the most current developments in self-powered medical information sensors with a variety of purposes, structural designs, and electric performances follows. Wearable sensors that generate their own electricity are crucial not only for the proper development of children and patients with unique conditions, but for the purpose of maintaining checks on the wellbeing of the elderly and those who have recently recovered from illness, and for administering any necessary medical care. This work sought to do two things at once: provide perspectives for health monitoring, and open up new avenues for the analysis of long-distance biological movement status.
早期疾病的临床诊断和治疗主要依赖于测量人体各部位分散的多种类型的医学信息。为了及时识别异常医学信号并定位导致这些信号产生的因素，需要对人体进行连续、准确的监测。为了满足这一要求，已经开发出了多种无需电池和自供电的信息采集方法。对于健康监测系统，本文介绍了基于摩擦纳米发电机（TENG）和压电纳米发电机（PENG）的智能可穿戴传感器，以及结合了压电和摩擦纳米发电机的混合纳米发电机（PTNG）。在介绍了 PENG 和 TENG 的原理之后，本文总结和讨论了具有各种用途、结构设计和电性能的自供电医疗信息传感器的最新发展。自供电的可穿戴传感器不仅对儿童和特殊条件患者的正常发育至关重要，而且对监测老年人和最近康复患者的健康状况以及提供任何必要的医疗护理也至关重要。这项工作旨在同时实现两个目标：为健康监测提供新视角，并为远程生物运动状态分析开辟新途径。
