全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于柔性压力传感器的帕金森病监测系统设计
Design of Parkinson’s Disease Monitoring System Based on Flexible Pressure Sensors

DOI: 10.12677/OJCS.2023.123004, PP. 29-37

Keywords: 柔性压力传感器,高灵敏度,单片机,手指压力,帕金森病
Flexible Pressure Sensors
, High Sensitivity, Microcontroller Unit, Finger Pressure, Parkinson’s Disease

Full-Text   Cite this paper   Add to My Lib

Abstract:

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。
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.

References

[1]  Yang, H.X., et al. (2021) A Smart Wearable Ring Device for Sensing Hand Tremor of Parkinson’s Patients. Computer Modeling in Engineering & Sciences, 126, 1217-1238.
https://doi.org/10.32604/cmes.2021.014558
[2]  潘虹. 微结构柔性压力传感器的制备及性能研究[D]: [博士学位论文]. 成都: 电子科技大学, 2022.
https://doi.org/10.27005/d.cnki.gdzku.2022.000506
[3]  杨敏, 费飞, 冷莹, 吴常铖, 杨德华. 基于足底压力传感器的人体步态分析系统设计[J]. 传感器与微系统, 2020, 39(7): 86-88+91.
https://doi.org/10.13873/J.1000-9787(2020)07-0086-03
[4]  林修竹. 面向人体生命体征信号监测的柔性压力传感器的研究[D]: [博士学位论文]. 长春: 吉林大学, 2022.
https://doi.org/10.27162/d.cnki.gjlin.2022.000334
[5]  丁青锋, 王丽姚. 基于复合传感器的人体健康监测系统设计[J]. 传感器与微系统, 2019, 38(11): 82-84+88.
https://doi.org/10.13873/j.1000-9787(2019)11-0082-03
[6]  Ha, K.H., et al. (2021) Highly Sensitive Capacitive Pressure Sensors over a Wide Pressure Range Enabled by the Hybrid Responses of a Highly Porous Nanocomposite. Advanced Materials, 33, Article ID: 2103320.
https://doi.org/10.1002/adma.202103320
[7]  杨晓锋. 柔性电容传感器的压力传感特性及其传感机理研究[D]: [博士学位论文]. 厦门: 厦门大学, 2020.
https://doi.org/10.27424/d.cnki.gxmdu.2020.001266
[8]  肖瑶. 基于导电复合材料的柔性触觉传感器研究[D]: [博士学位论文]. 成都: 电子科技大学, 2021.
https://doi.org/10.27005/d.cnki.gdzku.2021.000127
[9]  李云霞. 基于三维多孔结构的柔性电阻式压力传感器研究[D]: [博士学位论文]. 兰州: 兰州大学, 2020.
https://doi.org/10.27204/d.cnki.glzhu.2020.000995
[10]  郭馨. 基于Ecoflex/AgNWs/MWCNTs的柔性可拉伸应变传感器的研究[D]: [硕士学位论文]. 天津: 天津工业大学, 2020.
https://doi.org/10.27357/d.cnki.gtgyu.2020.000522
[11]  王灿. 基于PDMS的柔性触觉传感器的制备和信号采集电路的设计[D]: [硕士学位论文]. 成都: 电子科技大学, 2021.
https://doi.org/10.27005/d.cnki.gdzku.2021.000962
[12]  林雄威. 基于压电复合材料的柔性压力传感器的设计、性能与应用研究[D]: [博士学位论文]. 广州: 广东工业大学, 2021.
https://doi.org/10.27029/d.cnki.ggdgu.2021.000019
[13]  Jeong, J.H., et al. (2019) Development of Wireless Sen-sor Node Hardware for Large-Area Capacitive Strain Monitoring. Smart Materials and Structures, 28, No. 1.
https://doi.org/10.1088/1361-665X/aaebc6
[14]  冯宴铭, 陆小龙, 赵世平. 基于C8051F020单片机的高精度测频计数和计时模块设计[J]. 电子测量技术, 2014, 37(4): 72-75.
https://doi.org/10.19651/j.cnki.emt.2014.04.018
[15]  Jeong, J.H., et al. (2022) Automatic Control of AC Bridge-Based Capacitive Strain Sensor Interface for Wireless Structural Health Monitoring. Measurement, 202, Article ID: 111789.
https://doi.org/10.1016/j.measurement.2022.111789

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413