International Journal of Chinese Medicine

Submit a Manuscript

Publishing with us to make your research visible to the widest possible audience.

Propose a Special Issue

Building a community of authors and readers to discuss the latest research and develop new ideas.

Clinical Retrospective Analysis of Cold and Heat Diagnosis of Traditional Chinese Medicine by Application of Infrared Thermal Imaging Technology

Objective: Exploring the application of infrared thermal imaging technology in Traditional Chinese Medicine (TCM) diagnosis of cold and heat by comparing the cold and heat of TCM clinical dialectics with the cold and heat objectively measured by infrared thermal imaging technology. Methods: First, there were 77 patients from the Prevention and Treatment Center of Guangdong Hospital of TCM selected to analyze their clinical information retrospectively. Then, transforming the temperature index measured by infrared thermal imaging technology into the cold and heat deviation index, which can reflect the cold and heat of traditional Chinese medicine. Finally, a Correlation analysis was made between patients' cold and heat deviation index, and clinical symptoms, the type of cold and heat syndrome diagnosed by doctors. Results: The cold and heat deviation index of the outer, upper outer, and lower outer parts of the patients was significantly lower than that of the inner, upper inner, and lower inner parts of the patients and the difference in the mean values of the three groups was 0.06, 0.07 and 0.03, respectively. In all parts of the subjects, the coincidence rate of clinical dialectics of cold and cold and heat deviation index less than 0 (belonging to cold) was 70.17%. In patients with fatigue symptoms, the cold and heat deviation index of the lower inner part, the upper inner part, and the inner part was significantly higher than that of the lower outer part, the upper outer part, and the outer part. Conclusions: The pattern of human torso region division combined with the cold and heat deviation index can be used to reflect the quantitative understanding of cold and heat in the TCM clinic. Quantifying the variation of cold and heat according to the trend of torso regional temperature deviation can explain the pathogenesis of some elementary symptoms closely related to cold and heat. As a quantitative index of TCM cold and heat, the offset index can be proof for visualization, objectification, and quantification, combined with doctors' judgment, which can an effective auxiliary diagnostic means of TCM to a certain extent.

Traditional CHINESE Medicine, Cold and Heat, Signs of Cold and Heat, Infrared Thermal Imaging, Quantification, Regular Feature

Li Hongxu, Zhu Guangyao, Lu Yongqiang, Bin Wei, Wu Yanxiong. (2023). Clinical Retrospective Analysis of Cold and Heat Diagnosis of Traditional Chinese Medicine by Application of Infrared Thermal Imaging Technology. International Journal of Chinese Medicine, 7(1), 1-9.

Copyright © 2023 Authors retain the copyright of this article.
This article 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.

1. Zhang Jidong, He Qinghu, Sun Tao. Status and prospect of infrared thermal imaging technology applied in TCM researches [J]. Chines Journal of Traditional Chines Medicine and Pharmacy, 2015, 30 (09): 3202-3206.
2. Li Hongxu, Lu Yongqiang, Bin Wei. Discussion on quantification method of cold and heat diagnosis of traditional Chinese medicine based on palpation method [J]. Journal of Shanghai University of Traditional Chinese Medicine, 2022, 2 (36): 32-36.
3. Zhao Jie, Meng Lifeng, Mo Chao, Lan Fang, Liang Chunqin, Shi Wei. Research progress of traditional Chinese medicine syndrome differentiation based on infrared thermography [J]. Chines Journal of Traditional Chines Medicine and Pharmacy, 2020, 35 (07): 3533-3535.
4. Liao Jieying, Wang Tianfang, Li Zhan, Lv Hongpeng, Yang Yingying, Han Pengpeng. Research Progress of Infrared Thermography for Disease Diagnosis and Pattern Differentiation of Traditional Chinese Medicine [J]. Chinese Journal of Basic Medicine in Traditional Chinese Medicine, 2021, 27 (04): 698-702.
5. Yin Xiaolan, Chen Qiao. Application of infrared thermal imaging technology in TCM syndrome differentiation and disease differentiation [J]. Asia-Pacific Traditional Medicine, 2018, 14 (12): 80-82.
6. Shterenshis M. Challenges to Global Implementation of Infrared Thermography Technology: Current Perspective [J]. Cent Asian J Glob Health, 2017, 6 (1): 289.
7. Wang Bing. Huangdi Neijing Suwen 24 volumes [M]. Beijing: People’s Medical Publishing House. 1956: 14.
8. Li Hongjuan, Sun Tao, Xiang Lekang, Wang Yuting. Research on the Characteristics of Infrared Imaging of Normal Human Body Based on Traditional Chinese Medicine [J]. World Journal of Integrated Traditional and Western Medicine, 2021, 16 (01): 88-91.
9. Xu Zhinig, Xv Liyun, Gao Lin, Li Chunping, Song Shenggou, Wang yin. Preliminary study on the syndrome and treatment of "Upper cold and lower heat" [J]. Hunan Journal of Traditional Chines Medicine, 2021, 37 (12): 92-93.
10. Huang Wenting, Wang Jihong, Gao Yicheng, Shi Yuhong. The subdivision and treatment of upper heat and lower cold syndrome were discussed from the perspective of differentiation of zang-fu organs [J]. Global Traditional Chinese Medicine, 2021, 14 (05): 890-893.
11. Xu Lei, Yang Hongxing, Zhang Yue, Wang Chao, Liu Yangyang, Liu Jianwei. Assembly Analysis on the Locations and Topographies of Shangwan (CV13), Zhongwan (CV12) and Xiawan (CV10) Acupoints [J]. Journal of Clinical Acupuncture and Moxibustion, 2012, 28 (09): 4-6.
12. Ma Chong, Zhang Hongqi, Liu Ying, Tao Zhuang, Li Hongjuan. An observational study on the change rules and influencing factors of infrared thermography in healthy children [J]. Journal of Beijing University of Traditional Chinese Medicine, 2021, 44 (10): 940-946.
13. Lu Qinhong, Yang Hongqin, Chen Li, Li Hui, Xie Shusen. Analysis of The Skin Temperature Distribution of Infrared Thermography of Normal Youth [J]. Chinese Journal of Biomedical Engineering, 2007 (04): 528-531+536.
14. Peng Danling. General psychology [M]. 4 edition. Beijing: Beijing Normal University Publishing Group, 2012: 139-140.
15. Yang Zhiyin. Chinese-english Dictionary of diagnostics [M]. Beijing: People’s Medical Publishing House. 2010: 8-9.
16. Yang Xiaoyuan, Jia Chunhua. The conceptual metaphor of "Cold" and "heat" between temperature sensation and traditional Chinese Medicine [J]. Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology, 2015, 17 (12): 2497-2501.
17. Xv heng, Ji qingjie, Wu Chunling, Leng wenfei. Clinical application of medical infrared thermal imaging technology [J]. Clinical Journal of Chinese Medicine, 2019, 11 (35): 126-129.
18. Wang Xiang, Ni Lei, Pan Yu, Ren Jiayan, Xing Tianye, Wu Hao, Shang Xiaoling. Research Progress of Yang Deficiency Constitution and Related Diseases [J]. Jilin Journal of Chinese Medicine, 2020, 40 (03): 417-420.
19. Bao Wenting Tang Jun. Investigation and analysis of Chinese medicine constitutions identification among sub-health of 689 cases [J]. Modern Chinese Doctor, 2014, 52 (24): 116-118.
20. Zhou Hao, Zhu Jialing, Tang Yuan, Luo Danqing, Wang Chao, Yu Congcong. Sub-health of Yang deficiency constitution coke cold temperature distribution in the crowd infrared heat maps [C]. Collection of papers and Abstracts of the 15th National Symposium on Infrared Heating and Infrared Medicine Development. [Publisher unknown], 2015: 194-197.