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A Noncontact Method for Locating Radial Artery above Radial Styloid Process in Thermal Image

A radial artery above the radial styloid process is called GUAN and is a critical position for collecting pulse wave in traditional Chinese medicine theory. Locating GUAN is a precondition for collecting radial pulse wave. However, existing methods for locating GUAN lead to large deviations. This pa...

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Autores principales: Geng, Xingguang, Liu, Su, Zhang, Yitao, Hou, Jiena, Zhang, Shaolong, Zhang, Jun, Zhang, Haiying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229564/
https://www.ncbi.nlm.nih.gov/pubmed/32454858
http://dx.doi.org/10.1155/2020/4057154
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author Geng, Xingguang
Liu, Su
Zhang, Yitao
Hou, Jiena
Zhang, Shaolong
Zhang, Jun
Zhang, Haiying
author_facet Geng, Xingguang
Liu, Su
Zhang, Yitao
Hou, Jiena
Zhang, Shaolong
Zhang, Jun
Zhang, Haiying
author_sort Geng, Xingguang
collection PubMed
description A radial artery above the radial styloid process is called GUAN and is a critical position for collecting pulse wave in traditional Chinese medicine theory. Locating GUAN is a precondition for collecting radial pulse wave. However, existing methods for locating GUAN lead to large deviations. This paper proposes a novel nontouch method for locating GUAN based on thermal imaging and image processing. This method consists of three parts: the infrared thermal imaging location imaging platform, the wrist edge contour extraction algorithm based on arbitrary angle edge recognition, and radial protrusion recognition algorithm (x coordinate identification algorithm of GUAN) and radial artery fitting algorithm (y coordinate identification algorithm of GUAN). The infrared thermal imaging positioning imaging platform is used to ensure that the wrist of the subject enters the fixed imaging area in a fixed position during each measurement and transmits the thermal imaging images carrying the image information of radial processes and radial arteries to the upper computer. Arbitrary angle edge recognition algorithm is used to extract wrist contour and radial artery edge information. The x-axis coordinates of the radial artery were provided by the identification algorithm, and the y-axis coordinates of the radial artery were provided by the fitting algorithm. Finally, the x and y coordinates determine the GUAN position. The algorithm for locating GUAN could provide repeatable and reliable x and y coordinates. The proposed method shows that relative standard deviation (RSD) of x distance of GUAN is less than 9.0% and RSD of y distance of GUAN is less than 5.0%. The proposed method could provide valid GUAN coordinates and reduce deviations of locating GUAN.
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spelling pubmed-72295642020-05-23 A Noncontact Method for Locating Radial Artery above Radial Styloid Process in Thermal Image Geng, Xingguang Liu, Su Zhang, Yitao Hou, Jiena Zhang, Shaolong Zhang, Jun Zhang, Haiying Evid Based Complement Alternat Med Research Article A radial artery above the radial styloid process is called GUAN and is a critical position for collecting pulse wave in traditional Chinese medicine theory. Locating GUAN is a precondition for collecting radial pulse wave. However, existing methods for locating GUAN lead to large deviations. This paper proposes a novel nontouch method for locating GUAN based on thermal imaging and image processing. This method consists of three parts: the infrared thermal imaging location imaging platform, the wrist edge contour extraction algorithm based on arbitrary angle edge recognition, and radial protrusion recognition algorithm (x coordinate identification algorithm of GUAN) and radial artery fitting algorithm (y coordinate identification algorithm of GUAN). The infrared thermal imaging positioning imaging platform is used to ensure that the wrist of the subject enters the fixed imaging area in a fixed position during each measurement and transmits the thermal imaging images carrying the image information of radial processes and radial arteries to the upper computer. Arbitrary angle edge recognition algorithm is used to extract wrist contour and radial artery edge information. The x-axis coordinates of the radial artery were provided by the identification algorithm, and the y-axis coordinates of the radial artery were provided by the fitting algorithm. Finally, the x and y coordinates determine the GUAN position. The algorithm for locating GUAN could provide repeatable and reliable x and y coordinates. The proposed method shows that relative standard deviation (RSD) of x distance of GUAN is less than 9.0% and RSD of y distance of GUAN is less than 5.0%. The proposed method could provide valid GUAN coordinates and reduce deviations of locating GUAN. Hindawi 2020-05-07 /pmc/articles/PMC7229564/ /pubmed/32454858 http://dx.doi.org/10.1155/2020/4057154 Text en Copyright © 2020 Xingguang Geng et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Geng, Xingguang
Liu, Su
Zhang, Yitao
Hou, Jiena
Zhang, Shaolong
Zhang, Jun
Zhang, Haiying
A Noncontact Method for Locating Radial Artery above Radial Styloid Process in Thermal Image
title A Noncontact Method for Locating Radial Artery above Radial Styloid Process in Thermal Image
title_full A Noncontact Method for Locating Radial Artery above Radial Styloid Process in Thermal Image
title_fullStr A Noncontact Method for Locating Radial Artery above Radial Styloid Process in Thermal Image
title_full_unstemmed A Noncontact Method for Locating Radial Artery above Radial Styloid Process in Thermal Image
title_short A Noncontact Method for Locating Radial Artery above Radial Styloid Process in Thermal Image
title_sort noncontact method for locating radial artery above radial styloid process in thermal image
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229564/
https://www.ncbi.nlm.nih.gov/pubmed/32454858
http://dx.doi.org/10.1155/2020/4057154
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