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一种用于测量舌面湿度以辅助舌诊的新型非接触式方法的提案,以及可单独记录舌面光泽成分的舌图像分析系统的开发。

Proposal for a new noncontact method for measuring tongue moisture to assist in tongue diagnosis and development of the tongue image analyzing system, which can separately record the gloss components of the tongue.

作者信息

Nakaguchi Toshiya, Takeda Kanako, Ishikawa Yuya, Oji Takeshi, Yamamoto Satoshi, Tsumura Norimichi, Ueda Keigo, Nagamine Koichi, Namiki Takao, Miyake Yoichi

机构信息

Center for Frontier Medical Engineering, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan.

Graduate School of Engineering, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan.

出版信息

Biomed Res Int. 2015;2015:249609. doi: 10.1155/2015/249609. Epub 2015 Jan 28.

DOI:10.1155/2015/249609
PMID:25699260
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4324740/
Abstract

Tongue diagnosis is a noninvasive diagnosis and is traditionally one of the most important tools for physicians who practice Kampo (traditional Japanese) medicine. However, it is a subjective process, and its results can depend on the experience of the physician performing it. Previous studies have reported how to measure and evaluate the shape and color of the tongue objectively. Therefore, this study focused on the glossy component in order to quantify tongue moisture in tongue diagnosis. We hypothesized that moisture appears as a gloss in captured images and measured the amount of water on the tongue surface in 13 subjects. The results showed a high correlation between the degree of gloss and the amount of water on the tongue surface and suggested that the moisture on the tongue can be estimated by the degree of gloss in a captured image. Because the moisture level on the tongue changes during the course of taking photos, it became clear that we had to wait at least 3 minutes between photos. Based on these results, we established the tongue image analyzing system (TIAS), which can consistently record the gloss and color of the tongue surface simultaneously.

摘要

舌诊是一种非侵入性诊断方法,传统上是从事汉方(传统日本)医学的医生最重要的工具之一。然而,这是一个主观过程,其结果可能取决于进行舌诊的医生的经验。先前的研究报告了如何客观地测量和评估舌头的形状和颜色。因此,本研究聚焦于光泽成分,以便在舌诊中量化舌部水分。我们假设水分在拍摄的图像中表现为光泽,并测量了13名受试者舌面的水分含量。结果表明,光泽度与舌面水分含量之间存在高度相关性,这表明可以通过拍摄图像中的光泽度来估计舌部的水分。由于在拍照过程中舌部的水分水平会发生变化,很明显我们必须在拍照之间至少等待3分钟。基于这些结果,我们建立了舌图像分析系统(TIAS),该系统可以同时持续记录舌面的光泽和颜色。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/0c9ca3ad2ee9/BMRI2015-249609.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/c1ea94c634cb/BMRI2015-249609.001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/37d65c2a0a45/BMRI2015-249609.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/0c9ca3ad2ee9/BMRI2015-249609.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/c1ea94c634cb/BMRI2015-249609.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/1a9141aee742/BMRI2015-249609.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/914dddc1d7fd/BMRI2015-249609.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/6a87e2510b0f/BMRI2015-249609.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/83e5e9875443/BMRI2015-249609.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/8d8e7c4fd4ea/BMRI2015-249609.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/37d65c2a0a45/BMRI2015-249609.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20a/4324740/0c9ca3ad2ee9/BMRI2015-249609.008.jpg

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