%0 Journal Article
%T 基于柔性压力传感器的帕金森病监测系统设计<br>Design of Parkinson’s Disease Monitoring System Based on Flexible Pressure Sensors
%A 陈志勇
%A 顾宏
%A 张敏
%J Open Journal of Circuits and Systems
%P 29-37
%@ 2327-0861
%D 2023
%I Hans Publishing
%R 10.12677/OJCS.2023.123004
%X 本文基于柔性压力传感器的传感机理，为了探究柔性电容压力传感器在智能健康监测领域的应用，开发出了一套用于采集人体手指压力信号的柔性压力传感器系统。传感器采用具有多孔结构的纳米复合材料PNC来制备；而在信号采集电路设计部分，主要采用交流电桥测电容的方法将电容信号转换为电压信号，然后通过AD芯片读取模拟值，交由主控单片机控制处理，达到智能化数据采集的功能。最后为了验证系统工作的可靠性，将传感器系统应用于测量人体手指压力信号，从而建立压力信息与健康信息的关联。该系统能够实现在特定量程内高灵敏度测量手指压力与抖动频率，一方面为新型高灵敏度柔性压力电容传感器的制备提供参考，另一方面也为电容信号采集提供一定的设计思路，同时为早期发现和治疗帕金森病提供参考。<br />
This article develops a flexible pressure sensor system for collecting pressure signals from human fingers based on the sensing mechanism of flexible pressure sensors, which aims to explore the ap-plication of flexible capacitive pressure sensors in the field of intelligent health monitoring. The sensor is made using a nano-composite material called PNC. In the signal acquisition circuit, the method of measuring capacitance using an AC bridge is mainly used to convert the capacitance sig-nal into voltages, and then read the analog value through the AD chip, which is controlled and pro-cessed by the main microcontroller to achieve intelligently the function of data collection. Finally, in order to verify the reliability of the system's operation, the sensor system is applied to measure the signal on the fingers of the human body so that the correlation between pressure information and health information can be established. This system can achieve highly sensitive measurement of finger pressure and jitter frequency within a specific range. On the one hand, it provides reference for the preparation of a new type of highly sensitive flexible pressure capacitance sensors. On the other hand, it also provides a certain design idea for acquiring capacitance signal. At the same time, it provides reference for the early detection and treatment of Parkinson’s disease.
%K 柔性压力传感器，高灵敏度，单片机，手指压力，帕金森病<br>Flexible Pressure Sensors
%K High Sensitivity
%K Microcontroller Unit
%K Finger Pressure
%K Parkinson’s Disease
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=78065