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Tongue color may predict blood-biochemical data

机译:舌颜色可能预测血液生化数据

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Tongue diagnosis is an important diagnostic method in Japanese-traditional (Kampo) medicine, and the tongue is considered as a mirror reflecting the internal state of the body. Imbalance of water, heat, bloodstream, and to diagnose blood stagnation, blood deficiency, yin deficiency and so on in Kampo medicine can be diagnosed with tongue diagnosis. In this article, principal component analysis (PCA) of the hyperspectral images of tongues and analysis of correlation between its color and values of blood-biochemical data were performed to turn the empirical observation into the change in substantial factor. One hundred hyperspectral tongue images and blood samples were acquired from 50 outpatients, and the uncoated tongue region was segmented automatically. The spectral information of the uncoated tongue area was analyzed by principal component analysis (PCA). The component vector most representative of each blood-biochemical data was found by rotating the vector on a plane spanned by two arbitrary principal component vectors. Spectra of the tongue area without coating were extracted, the principal component analysis was performed, and correlation to each item of blood-chemistry was calculated with the vector rotation method. Creatinine, PDW, Chloride, MPV, FT4, RBC, γ-GTP, FBS, and AST showed large correlation to the tongue color spectra. We could determine correlations between tongue color spectra and items of blood-biochemistry. Our method would help non-invasive screening, and this tool should help non-trained people identify health status using concept of Kampo medicine.
机译:舌诊断是日语 - 传统(Kampo)药中的重要诊断方法,舌头被认为是反映体内内部状态的镜子。 kampo医学中的水,热,血液和诊断血液停滞,血虚,阴虚等血液停滞,血虚,阴虚等。在本文中,进行了舌头高光谱图像的主成分分析(PCA)以及其颜色和血液生化数据的颜色和值之间的相关性分析,以将经验观察变为大量因素的变化。从50个门诊患者获得一百个高光谱舌片和血样,并且自动分割未涂覆的舌区。通过主成分分析(PCA)分析了未涂层舌区的光谱信息。通过在由两个任意主成分向量跨越的平面上旋转载体来发现每个血液化学数据的组分载体。提取舌头的光谱没有涂层,进行主成分分析,并用载体旋转法计算与每种血液化学物质的相关性。肌酐,PDW,氯化物,MPV,FT4,RBC,γ-GTP,FBS和AST与舌谱谱表示大的相关性。我们可以确定舌型色谱和血液生物化学物品之间的相关性。我们的方法将有助于无侵入性筛选,此工具应帮助未经培训的人识别使用Kampo医学概念的健康状况。

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