Self‐Powered Wearable Displacement Sensor for Continuous Respiratory Monitoring and Human‐Machine Synchronous Control

Flexible wearable electronic devices play a vital role in daily monitoring, medical diagnosis, and human-computer interaction, and such devices have a great demand for portability, integration, comfort, and self-power. In this study, a triboelectric nanogenerator integrated into a flexible chest belt is proposed as a displacement sensor to monitor the displacement and frequency of thoracic expansion. Based on three parallel interpolation electrode structures with phase differences, the Triboelectric Nanogenerators's(TENG) output signal pulse number can characterize the sliding displacement, with a resolution of more than 1 mm and a durability of more than 700,000 cycles. Based on the flexible printed circuit processing technology, the volume of the sensor is less than 8.5 cm<sup>3</sup>, and the weight is less than 3.2 g, which improves the portability of the device. Based on wireless radio frequency technology, the collected signals are transmitted to the upper computer, and then the monitoring of respiratory physiological signals and the human-machine synchronous control of the ventilator are achieved within the overshoot of 1.5% and the control error of 5% through a simulation machine. This work provides a sensing method for daily and medical respiratory monitoring and demonstrates the enormous potential of frictional electric sensors in intelligent medical applications.

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Publication Details

Journal
Small Methods
Published
2024-11-26
DOI
https://doi.org/10.1002/smtd.202401189
Citations
9
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.66

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article

Self‐Powered Wearable Displacement Sensor for Continuous Respiratory Monitoring and Human‐Machine Synchronous Control

Liman Yang, Xian Fu, Heran Li, Chengwei Han et al.
9 citations
Small Methods
Advanced Sensor and Energy Harvesting Materials
1.66
article

Self‐Powered Wearable Displacement Sensor for Continuous Respiratory Monitoring and Human‐Machine Synchronous Control

Liman Yang, Xian Fu, Heran Li, Chengwei Han, Yanxia Niu, Yixuan Wang, Chi Zhang, Fei Xie, Zhibo Sun, Yan Shi
article en
9 citations

Abstract

Flexible wearable electronic devices play a vital role in daily monitoring, medical diagnosis, and human-computer interaction, and such devices have a great demand for portability, integration, comfort, and self-power. In this study, a triboelectric nanogenerator integrated into a flexible chest belt is proposed as a displacement sensor to monitor the displacement and frequency of thoracic expansion. Based on three parallel interpolation electrode structures with phase differences, the Triboelectric Nanogenerators's(TENG) output signal pulse number can characterize the sliding displacement, with a resolution of more than 1 mm and a durability of more than 700,000 cycles. Based on the flexible printed circuit processing technology, the volume of the sensor is less than 8.5 cm<sup>3</sup>, and the weight is less than 3.2 g, which improves the portability of the device. Based on wireless radio frequency technology, the collected signals are transmitted to the upper computer, and then the monitoring of respiratory physiological signals and the human-machine synchronous control of the ventilator are achieved within the overshoot of 1.5% and the control error of 5% through a simulation machine. This work provides a sensing method for daily and medical respiratory monitoring and demonstrates the enormous potential of frictional electric sensors in intelligent medical applications.

Small MethodsVol. 9(10)
Chinese Academy of Sciences (CN), Chinese PLA General Hospital (CN), Beijing Institute of Nanoenergy and Nanosystems (CN), University of Chinese Academy of Sciences (CN), Beihang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 17%
Advanced Sensor and Energy Harvesting Materials
1.66
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