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1.
Journal of Integrative Medicine ; (12): 59-66, 2012.
Article in Chinese | WPRIM | ID: wpr-448910

ABSTRACT

To observe the facial spectrum and color of different points, the positions of heart, liver, spleen, lung and kidney of traditional Chinese medicine reflecting on the face, in healthy participants and those with a sub-health status, so as to provide an objective basis for health evaluation.

2.
Journal of Biomedical Engineering ; (6): 1062-1067, 2012.
Article in Chinese | WPRIM | ID: wpr-246506

ABSTRACT

This paper is aimed to observe the difference of facial color of people with different health status by spectral photometric color measuring technique according to the theory of facial color diagnosis in Internal Classic. We gathered the facial color information about the health status of persons in healthy group (183), sub-healthy group (287) and disease group (370) respectively. The information included L, a, b, C values and reflection of different wavelengths in 400-700nm with CM-2600D spectral photometric color measuring instrument on 8 points. The results indicated that overall complexion color values of the people in the three groups were significantly different. The persons in the disease group looked deep dark in features. The people in the sub-healthy group looked pale in features. The loci L, a, b, C values were with varying degrees of significant differences (P < 0.05) at 6 points among the groups, and the central position of the face in all the groups was the position with most significant differences. Comparing the facial color information at the same point of the people in the three groups, we obtained each group's diagnostic special point. There existed diagnostic values in distinguishing disease status and various status of health in some degree by spectral photometric color measuring technique. The present method provides a prosperous quantitative basis for Chinese medical inspection of the complexion diagnosis.


Subject(s)
Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Young Adult , Color , Face , Health Status , Medicine, Chinese Traditional , Methods , Photography , Spectrophotometry , Spectrum Analysis
3.
Journal of Integrative Medicine ; (12): 701-5, 2009.
Article in Chinese | WPRIM | ID: wpr-449150

ABSTRACT

Inspection of the complexion is one of the characteristics of traditional Chinese medical diagnosis. Traditional Chinese medicine puts high emphasis on inspection of the complexion and there exists detailed discussion on inspection of facial expression in Neijing. The so-called inspection of facial expression is a method to diagnose diseases according to the theory of five Zang-organs matching five elements and five colors by distinguishing various changes of facial color, such as green, red, yellow, white and black based on yin and yang doctrine and five elements theory. Nowadays, more and more experts have introduced color optical theory and modern devices into the modern research field of traditional Chinese medical diagnosis with the development of color optical theory and the renewal of determining devices, such as digital camera, color differentiation meter and spectrophotometer, to make the research more scientific and objective and avoid the deviations caused by human factors. The modern study of traditional Chinese medicine diagnosis has made fare progress, consequently enriching the contents of its facial color observation and giving a more scientific explanation of it. However, the devices being used now are still disunited; the data may be unilateral and cannot contain the whole information. So the most important task is to invent and use scientific devices conforming better with the theory of five colors observation in traditional Chinese medicine.

4.
Journal of Integrative Medicine ; (12): 422-7, 2009.
Article in Chinese | WPRIM | ID: wpr-449119

ABSTRACT

To establish an analytical method for tongue image acquisition under natural daylight based on L*a*b* error correction, and to observe the classification rules of tongue color using color error correction.

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