- P-ISSN 1010-0695
- E-ISSN 2288-3339
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- P-ISSN1010-0695
- E-ISSN2288-3339
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The Association between Facial Morphology and Cold Pattern
Journal of Korean Medicine / Journal of Korean Medicine, (P)1010-0695; (E)2288-3339
2021, v.42 no.4, pp.113-129
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(2021). The Association between Facial Morphology and Cold Pattern. Journal of Korean Medicine, 42(4), 113-129.
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Abstract
Objectives: Facial diagnosis is an important part of clinical diagnosis in traditional East Asian Medicine. In this paper, using a fully automated facial shape analysis system, we show that facial morphological features are associated with cold pattern. Methods: The facial morphological features calculated from 68 facial landmarks included the angles, areas, and distances between the landmark points of each part of the face. Cold pattern severity was determined using a questionnaire and the cold pattern scores (CPS) were used for analysis. The association between facial features and CPS was calculated using Pearson's correlation coefficient and partial correlation coefficients. Results: The upper chin width and the lower chin width were negatively associated with CPS. The distance from the center point to the middle jaw and the distance from the center point to the lower jaw were negatively associated with CPS. The angle of the face outline near the ear and the angle of the chin line were positively associated with CPS. The area of the upper part of the face and the area of the face except the sensory organs were negatively associated with CPS. The number of facial morphological features that exhibited a statistically significant correlation with CPS was 37 (unadjusted). Conclusions: In this study of a Korean population, subjects with a high CPS had a more pointed chin, longer face, more angular jaw, higher eyes, and more upward corners of the mouth, and their facial sensory organs were relatively widespread.
- keywords
- cold pattern, cold sensitivity, facial diagnosis, traditional Chinese medicine
Reference
1
1. Ferreira AS, Lopes AJ. Chinese medicine pattern differentiation and its implications for clinical practice. Chin J Integr Med. 2011;17(11):818-823. doi:10.1007/s11655-011-0892-y
2
2. Choi, Y., Kim, S.D., Kwon, O., Park, H.J., Kim, J., Choi, W., Ko, M.H., Ha, S.J., Song, S.Y., Park, S.J. and Yoo, H.S., 2021. Cold-Heat and Excess-Deficiency Pattern Identification Based on Questionnaire, Pulse, and Tongue in Cancer Patients: A Feasibility Study. Journal of Korean Medicine, 42(1), pp.1-11.
3
3. Ko M, Lee J, Yun K, You S, Lee M. Perception of pattern identification in traditional medicine: a sur-vey of Korean medical practitioners. J Tradit Chin Med. 2014;34(3):369-372.
4
4. Zhu B, Wang H. Diagnostics of Traditional Chinese Medicine. Singing Dragon; 2011.
5
5. Mun S, Kim S, Bae KH, Lee S. Cold and Spleen-Qi Deficiency Patterns in Korean Medicine Are Associated with Low Resting Metabolic Rate. Evidence-based Complement Altern Med. 2017;2017. doi:10.1155/2017/9532073
6
6. Pham DD, Lee J, Kim G, Song J, Kim J, Leem CH. Relationship of the Cold-Heat Sensation of the Limbs and Abdomen with Physiological Biomarkers. Evidence-based Complement Altern Med. 2016;2016. doi:10.1155/2016/2718051
7
7. Park YJ, Lee JM, Park YB. Relationships between oriental medical pattern diagnosis and cardiovascular autonomic function. Eur J Integr Med. 2013;5(6):506-513. doi:10.1016/j.eujim.2013.07.007
8
8. Lee M, Choi Y, Oriental G, Hospital M. Systemic reviews of domestic experimental studies of herbal medicines used for hypothyroidism since 2000. J Int Korean Med. 2015;36(4):570-581.
9
9. Ma T, Tan C, Zhang H, Wang M, Ding W, Li S. Bridging the gap between traditional Chinese medicine and systems biology: the connection of Cold Syndrome and NEI network. Mol Biosyst. 2010;6(4):613-619. doi:10.1039/b914024g
10
10. Henderson KE, Baranski TJ, Bickel PE, Clutter WE. The Washington Manual Endocrinology Subspecialty Consult. Vol 174. Lippincott Williams & Wilkins; 2008.
11
11. Prout L. Live in the Balance: The Ground -Breaking East-West Nutrition Program. Da Capo Press; 2000.
12
12. Li X, Li F, Wang Y, Qian P, Zheng X. Computer-aided disease diagnosis system in TCM based on facial image analysis. Int J Funct Inform Personal Med. 2009;2(3):303-314.
13
13. Liu M, Guo Z. Hepatitis diagnosis using facial color image. In: International Conference on Medical Biometrics. Springer; 2008:160-167.
14
14. Yanya C, Fufeng L, Yiqin W, et al. Analysis on Facial Color Diagnosis for CHD Patients. Chinese Arch Tradit Chinese Med. 2013;31(9):0-2. doi:10.13193/j.issn.1673-7717.2013. 09.103
15
15. Zhang B, Vijaya Kumar BVK, Zhang D. Noninvasive diabetes mellitus detection using facial block color with a sparse representation classifier. IEEE Trans Biomed Eng. 2014;61(4):1027-1033. doi:10.1109/TBME. 2013.2292936
16
16. Windhager S, Bookstein FL, Millesi E, Wallner B, Schaefer K. Patterns of correlation of facial shape with physiological measurements are more integrated than patterns of correlation with ratings. Sci Rep. 2017;7:45340.
17
17. Henderson AJ, Holzleitner IJ, Talamas SN, Perrett DI. Perception of health from facial cues. Phil Trans R Soc B. 2016;371(1693):20150380.
18
18. Kocabey E, Camurcu M, Ofli F, et al. Face-to-bmi: Using computer vision to infer body mass index on social media. arXiv Prepr arXiv170303156. 2017.
19
19. Tai CH, Lin DT. A Framework for Healthcare Everywhere: BMI Prediction Using Kinect and Data Mining Techniques on Mobiles. Proc - IEEE Int Conf Mob Data Manag. 2015;2:126-129. doi:10.1109/MDM.2015.40
20
20. Lee BJ, Kim JY. Predicting visceral obesity based on facial characteristics. BMC Complement Altern Med. 2014;14(1):248. doi:10.1186/1472-6882-14-248
21
21. Weber I, Mejova Y. Crowdsourcing Health Labels: Inferring Body Weight from Profile Pictures. Proc 6th Int Conf Digit Heal Conf. 2016:105-109. doi:10.1145/2896338.2897727
22
22. Nam J, Jang J-S, Kim H, Kim JY, Do J-H. Modification of the Integrated Sasang Constitutional Diagnostic Model. Evidence-Based Complement Altern Med. 2017;2017.
23
23. Koo I, Kim JY, Kim MG, Kim KH. Feature selection from a facial image for distinction of sasang constitution. Evidence-Based Complement Altern Med. 2009;6(S1):65-71.
24
24. Kondo M, Okamura Y. Cold constitution:analysis of the questionnaire. Nihon Sanka Fujinka Gakkai Zasshi. 1987;39(11):2000-2004.
25
25. Sadakata M, Yamada Y. Perception of foot temperature in young women with cold constitution: analysis of skin temperature and warm and cold sensation thresholds. J Physiol Anthropol. 2007;26(4):449-457.
26
26. Hur Y-M, Yu H, Jin H-J, Lee S. Heritability of cold and heat patterns: A twin study. Twin Res Hum Genet. 2018;21(3):227-232.
27
27. Wang Q, Yao S. Molecular basis for cold-intolerant yang-deficient constitution of traditional Chinese medicine. Am J Chin Med. 2008;36(05):827-834.
28
28. Jin H-J, Baek Y, Kim H-S, Ryu J, Lee S. Constitutional multicenter bank linked to Sasang constitutional phenotypic data. BMC Complement Altern Med. 2015;15:46. doi:10.1186/s12906-015-0553-3
29
29. King DE. Dlib-ml: A Machine Learning Toolkit. J Mach Learn Res. 2009;10:1755-1758. doi:10.1145/1577069.1755843
30
30. Kazemi V, Sullivan J. One Millisecond Face Alignment with an Ensemble of Regression Trees. doi:10.13140/2.1.1212.2243
31
31. Gross R, Matthews I, Cohn J, Kanade T, Baker S. Multi-PIE. Image Vis Comput. 2010;28(5):807-813. doi:10.1016/j.imavis.2009.08.002
32
32. Bae KH, Yoon Y, Yeo M, Kim HS, Lee Y, Lee S. Development on the questionnaire of cold-heat pattern identification based on usual symptoms for health promotion. J Soc Prev Korean Med. 2016;20:17-26.
33
33. Seo JH, Park YB, Park YJ. Reliable facial color analysis using a digital camera and its relationship with pathological patterns: A pilot study. Eur J Integr Med. 2014;6(3):322-327. doi:10.1016/j.eujim.2014.02.002
34
34. Mun S, Ahn I, Lee S. The Association of Quantitative Facial Color Features with Cold Pattern in Traditional East Asian Medicine. Evidence-Based Complement Altern Med. 2017;2017.
35
35. Lu C, Xiao C, Chen G, et al. Cold and heat pattern of rheumatoid arthritis in traditional Chinese medicine: Distinct molecular signatures indentified by microarray expression profiles in CD4-positive T cell. Rheumatol Int. 2012;32(1):61-68. doi:10.1007/s00296-010-1546-7
36
36. Lee BJ, Lee JC, Nam J, Kim JY. Prediction of cold and heat patterns using anthropometric measures based on machine learning. Chin J Integr Med. 2016:1-8. doi:10.1007/s11655-016-2641-8
37
37. Park AY, Cha S. Effects of cold sensitivity in the extremities on circulating adiponectin levels and metabolic syndrome in women. BMC Complement Altern Med. 2017;17(1):150. doi:10.1186/s12906-017-1658-7
38
39. Störring M. Computer vision and human skin colour. 2004.
39
40. Bae KH, Jang ES, Park K, Lee Y. Development on the questionnaire of cold-heat pattern identification based on usual symptoms:reliability and validation study. Journal of physiology & pathology in Korean Medicine. 2018;32(5):341-6.
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