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Hyperspectral detection and analysis of tongue coating thickness in traditional Chinese medicine |
Hits 620 Download times 396 Received:March 02, 2022 |
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DOI
10.11656/j.issn.1673-9043.2022.04.08 |
Key Words
hyperspectral imaging;tongue diagnosis;tongue coating thickness;coating nature;tongue diagnosis objectification |
Author Name | Affiliation | E-mail | MA Bei | Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | LIU Zhenzhen | Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | ZHAO Jing | Pharmaceutical Engineering School, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | WANG Yimin | Chinese Medicine Research Institute, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | ylzmyh@163.com |
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Abstract
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[Objective] The paper measures different types of tongue coating in traditional Chinese medicine (TCM) using hyperspectral technology, it explores how to establish a modern technical method to detect the thickness of tongue coating.[Methods] Tongue images were collected from a total of 609 clinical outpatients by taking respectively the digital tongue images and hyperspectral images of the same patient. The digital tongue images were used to determine the type of tongue coating. According to the inclusion and exclusion criteria, a total of 489 cases were selected as the research objects with 129 cases in the thin white coating group, 78 cases in the water sliding coating group, 179 cases in the white greasy coating group, and 103 cases in the yellow greasy coating group. The hyperspectral tongue image values and their differences between different types of tongue coating groups were compared in five different tongue sections: the tip of the tongue, the center of the tongue, the root of the tongue, the left side of the tongue, and the right side of the tongue.[Results] In the tip of the tongue section, the value in the yellow greasy coating group was higher than that in the thin white coating group, and the difference was statistically significant (P < 0.01). In the center and the root of the tongue sections, the value in the white greasy coating group was higher than those in the thin white coating group and the water sliding coating group, and the difference was extremely statistically significant (P < 0.001). The value in the yellow greasy coating group was higher than those in the thin white coating group and the water sliding coating group, and the difference was extremely statistically significant(P < 0.001).In the left side of the tongue section, the value in the yellow greasy coating group was higher than those in the thin white coating group and the water sliding coating group, and the difference was statistically significant (P < 0.01);the same value was also higher than that in the white greasy coating group, and the difference was statistically significant(P < 0.05). In the right side of the tongue section, the value in the yellow greasy coating group was higher than that in the thin white coating group, indicating a statistically significant difference(P < 0.01), and was higher than that in the water sliding coating group, indicating an extremely statistically significant difference (P < 0.001). There were no significant statistical differences among all the other groups.[Conclusion] The hyperspectral value is positively correlated with the change of the tongue coating thickness, suggesting that the hyperspectral technique can be applied to the measurement of the tongue coating thickness. |
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