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

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...

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Detalles Bibliográficos
Autores principales: Zhao, Shuanfeng, Wang, Wenbo, Guo, Wei, Zhang, Chuanwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712817/
https://www.ncbi.nlm.nih.gov/pubmed/29140294
http://dx.doi.org/10.3390/s17112634
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author Zhao, Shuanfeng
Wang, Wenbo
Guo, Wei
Zhang, Chuanwei
author_facet Zhao, Shuanfeng
Wang, Wenbo
Guo, Wei
Zhang, Chuanwei
author_sort Zhao, Shuanfeng
collection PubMed
description 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.
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spelling pubmed-57128172017-12-07 A Human Body Pressure Distribution Imaging System Based on Wavelet Analysis and Resistance Tomography Zhao, Shuanfeng Wang, Wenbo Guo, Wei Zhang, Chuanwei Sensors (Basel) Article 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. MDPI 2017-11-15 /pmc/articles/PMC5712817/ /pubmed/29140294 http://dx.doi.org/10.3390/s17112634 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Shuanfeng
Wang, Wenbo
Guo, Wei
Zhang, Chuanwei
A Human Body Pressure Distribution Imaging System Based on Wavelet Analysis and Resistance Tomography
title A Human Body Pressure Distribution Imaging System Based on Wavelet Analysis and Resistance Tomography
title_full A Human Body Pressure Distribution Imaging System Based on Wavelet Analysis and Resistance Tomography
title_fullStr A Human Body Pressure Distribution Imaging System Based on Wavelet Analysis and Resistance Tomography
title_full_unstemmed A Human Body Pressure Distribution Imaging System Based on Wavelet Analysis and Resistance Tomography
title_short A Human Body Pressure Distribution Imaging System Based on Wavelet Analysis and Resistance Tomography
title_sort human body pressure distribution imaging system based on wavelet analysis and resistance tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712817/
https://www.ncbi.nlm.nih.gov/pubmed/29140294
http://dx.doi.org/10.3390/s17112634
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