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基于小波分析和电阻层析成像的人体压力分布成像系统。

A Human Body Pressure Distribution Imaging System Based on Wavelet Analysis and Resistance Tomography.

机构信息

School of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.

出版信息

Sensors (Basel). 2017 Nov 15;17(11):2634. doi: 10.3390/s17112634.

Abstract

In this paper, a pressure distribution sensing system based on wavelet analysis and resistance tomography is proposed to overcome the shortcomings of a traditional electrode type pressure distribution sensor, which needs to be arranged with many electrodes and has a high production cost. The system uses ADS1256, a constant current source module, a serial communication module, a Raspberry host, a touch screen, and other components. The wavelet transform is used to preprocess the collected signal to improve the anti-jamming performance of the system. The method of resistance tomography is used to realize the real-time imaging of pressure distribution. Finally, the reliability of the system is verified using conductive silica gel as a sensitive material. The experimental results show that wavelet analysis preprocessing can significantly improve the quality of pressure distribution imaging.

摘要

本文提出了一种基于小波分析和电阻层析成像的压力分布传感系统,以克服传统电极式压力分布传感器需要布置大量电极、制造成本高的缺点。该系统采用 ADS1256、恒流源模块、串口通信模块、Raspberry 主机、触摸屏等组件。利用小波变换对采集到的信号进行预处理,提高了系统的抗干扰性能。采用电阻层析成像方法实现压力分布的实时成像。最后,采用导电硅胶作为敏感材料验证了系统的可靠性。实验结果表明,小波分析预处理可以显著提高压力分布成像质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71f9/5712817/0084490e3e8c/sensors-17-02634-g001.jpg

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