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基于可生物降解摩擦纳米发电机的无线传感系统用于评估运动和睡眠呼吸状况

Wireless Sensing System Based on Biodegradable Triboelectric Nanogenerator for Evaluating Sports and Sleep Respiratory.

作者信息

Zhang Mengqi, Wen Yuzhang, Xie Zhenning, Liu Bing, Sun Fengxin, An Zida, Zhong Ya, Feng Qingyang, Zhao Tianming, Mao Yupeng

机构信息

Physical Education Department, Northeastern University, Shenyang, 110819, China.

Criminal Investigation Police University of China, Shenyang, 110035, China.

出版信息

Macromol Rapid Commun. 2024 Aug;45(15):e2400151. doi: 10.1002/marc.202400151. Epub 2024 Apr 29.

Abstract

The rapid growth of the Internet of Things and wearable sensors has led to advancements in monitoring technology in the field of health. One such advancement is the development of wearable respiratory sensors, which offer a new approach to real-time respiratory monitoring compared to traditional methods. However, the energy consumption of these sensors raises concerns about environmental pollution. To address the issue, this study proposes the use of a triboelectric nanogenerator (TENG) as a sustainable energy source. The electrical conductivity of the TENG is improved by incorporating chitosan and carbon nanotubes, with the added benefit of chitosan's biodegradability reducing negative environmental impact. A wireless intelligent respiratory monitoring system (WIRMS) is then introduced, which utilizes a degradable triboelectric nanogenerator for real-time respiratory monitoring, diagnosis, and prevention of obstructive respiratory diseases. WIRMS offers stable and highly accurate respiratory information monitoring, while enabling real-time and nondestructive transmission of information. In addition, machine learning technology is used for sleep respiration state analysis. The potential applications of WIRMS extend to wearables, medical monitoring and sports monitoring, thereby presenting innovative ideas for modern medical and sports monitoring.

摘要

物联网和可穿戴传感器的迅速发展推动了健康领域监测技术的进步。其中一项进步是可穿戴呼吸传感器的开发,与传统方法相比,它为实时呼吸监测提供了一种新途径。然而,这些传感器的能耗引发了对环境污染的担忧。为解决这一问题,本研究提出使用摩擦纳米发电机(TENG)作为可持续能源。通过加入壳聚糖和碳纳米管提高了TENG的导电性,壳聚糖的生物可降解性还有减少负面环境影响的额外好处。随后引入了一种无线智能呼吸监测系统(WIRMS),该系统利用可降解摩擦纳米发电机进行实时呼吸监测、诊断和预防阻塞性呼吸道疾病。WIRMS能提供稳定且高度准确的呼吸信息监测,同时实现信息的实时无损传输。此外,机器学习技术用于睡眠呼吸状态分析。WIRMS的潜在应用扩展到可穿戴设备、医疗监测和运动监测,从而为现代医疗和运动监测提出了创新思路。

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