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WANG Shuting
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0856 材料与化工
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0856 材料与化工
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本文设计制作了一种基于叠层压电驻极体的柔性、高灵敏度、宽线性压力检测范围的自驱动压力传感器。该传感器由聚四氟乙烯(PTFE)和多孔聚丙烯(PP)材料组成,为PTFE/PP/PTFE叠层型结构,缓解了传统压电驻极体传感器在高灵敏度和宽压力检测范围之间的矛盾。PTFE/PP/PTFE结构的压电系数高达218 pC/N,且传感器在0~110 kPa的宽压力范围内保持线性。其中,在0~10 kPa的线性压力范围内,传感器的灵敏度高达0.868 V·kPa-1,约为多孔PP压电驻极体压力传感器的9.75倍。基于该传感器设计的智能枕,可实时监测心跳和呼吸信号;将该传感器固定在人体的颈部和腕部,可实现脉搏信号的实时监测。通过分析所采集到的人体生理信号,可获得呼吸、心率、脉搏等健康指标,并用于人体心脏和动脉血管健康状况的初步评估,为便携式健康监测及家庭医疗提供了新的可能。

Other Abstract

With the aggravation of global aging and the improvement of people’s living standards, people are paying more and more attention to their own health. However, it is difficult for the existing medical systems and equipment to provide timely and effective medical services for everyone. How to construct tiny, portable health monitoring devices to achieve accurate and real-time health monitoring of human physiological signals has become a technical issue that has attracted much attention. Since human physiological activities, such as breathing, heartbeat, speech, and movement, will produce regular changes in the pressure of the human interface, the construction and use of a portable flexible pressure sensor with high sensitivity and wide pressure range can accurately collect a variety of human physiological signals, so as to realize the Accurate, real-time health monitoring of the human body.

However, the existing flexible pressure sensors such as piezoresistive sensors and capacitive sensors used for human physiological signal detection need external power supply, which has some problems such as inconvenient movement, unfriendly environment and so on. The traditional piezoelectric sensors based on piezoelectric ceramic or piezoelectric polymer can realize self-powered, but the texture of piezoelectric ceramic is hard, which is not suitable for monitoring human surface. Sensors based on piezoelectric polymer have a low piezoelectric coefficient, which makes them unsuitable for high-precision monitoring. In contrast, Electrostatic pressure sensors can achieve flexible and high-precision monitoring with flexible material selection, but are sensitive to the disturbance by the environment. The pressure sensors based on piezoelectret can not only realize self-powered, but also have the advantages of flexibility, high sensitivity and high stability. However, there is a contradiction between the sensitivity and linear pressure detection range of piezoelectret sensors, which limits its application in the field of health. Therefore, it is necessary to design a novel piezoelectret sensing structure to improve its sensitivity on the premise of ensuring the linear pressure detection range of the sensor.

In this paper, we designed and fabricated a self-powered pressure sensor with flexibility, high sensitivity and wide linear pressure detection range based on laminated piezoelectret. The sensor is composed of polytetrafluoroethylene (PTFE) and porous polypropylene (PP), which is a PTFE / PP / PTFE laminated structure. The new structure improves the contradiction between high sensitivity and wide pressure range of traditional piezoelectret sensors. The structure has a high piezoelectric coefficient of 218 pC/N and the sensor has a wide linear working pressure range of 0~110 kPa. In the linear pressure range of 0~10 kPa, the sensitivity of PTFE/PP/PTFE sensor is as high as 0.868 V·kPa-1, which is about 9.75 times that of ordinary cellular polypropylene piezoelectret sensors. We designed an intelligent pillow based on the sensor, which can monitor the heartbeat and respiratory signals in real time. By fixing the sensor on the neck and wrist of human body, the real-time monitoring of pulse signal can also be realized. By analyzing the collected physiological signals of the human body, health indicators such as respiration, heart rate, and pulse can be obtained, which can be used for the preliminary assessment of the health of heart and arterial blood vessels, providing new potential for portable health monitoring and family medicine.

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DepartmentShenzhen Institute of Advanced Technology Chinese Academy of Sciences
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王舒婷. 柔性压电驻极体自驱动传感器及其在健康领域应用研究[D]. 深圳. 南方科技大学,2022.
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