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Automated Tongue Feature Extraction for ZHENG Classification in Traditional Chinese Medicine.

Kanawong R, Obafemi-Ajayi T, Ma T, Xu D, Li S, Duan Y - Evid Based Complement Alternat Med (2012)

Bottom Line: It defines the theoretical abstraction of the symptom profiles of individual patients and thus, used as a guideline in disease classification in Chinese medicine.We propose a novel-color-space-based feature set, which can be extracted from tongue images of clinical patients to build an automated ZHENG classification system.The experimental results obtained over a set of 263 gastritis patients, most of whom suffering Cold Zheng or Hot ZHENG, and a control group of 48 healthy volunteers demonstrate an excellent performance of our proposed system.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Informatics Institute, University of Missouri, Columbia, MO 65211, USA.

ABSTRACT
ZHENG, Traditional Chinese Medicine syndrome, is an integral and essential part of Traditional Chinese Medicine theory. It defines the theoretical abstraction of the symptom profiles of individual patients and thus, used as a guideline in disease classification in Chinese medicine. For example, patients suffering from gastritis may be classified as Cold or Hot ZHENG, whereas patients with different diseases may be classified under the same ZHENG. Tongue appearance is a valuable diagnostic tool for determining ZHENG in patients. In this paper, we explore new modalities for the clinical characterization of ZHENG using various supervised machine learning algorithms. We propose a novel-color-space-based feature set, which can be extracted from tongue images of clinical patients to build an automated ZHENG classification system. Given that Chinese medical practitioners usually observe the tongue color and coating to determine a ZHENG type and to diagnose different stomach disorders including gastritis, we propose using machine-learning techniques to establish the relationship between the tongue image features and ZHENG by learning through examples. The experimental results obtained over a set of 263 gastritis patients, most of whom suffering Cold Zheng or Hot ZHENG, and a control group of 48 healthy volunteers demonstrate an excellent performance of our proposed system.

No MeSH data available.


Related in: MedlinePlus

Tongue areas and their correspondence to internal organs in TCM.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig1: Tongue areas and their correspondence to internal organs in TCM.

Mentions: TCM believes that the tongue has many relationships and connections in the human body, both to the meridians and the internal organs. It is, therefore, very useful and important during inspection for confirming TCM diagnosis as it can present strong visual indicators of a person's overall physical and mental harmony or disharmony. In TCM, the tongue is divided into tongue tip, tongue margins, tongue center, and tongue root. Figure 1(a) shows each part of the tongue and its correspondence to different internal organs according to TCM while Figure 1(b) illustrates how we geometrically obtain an approximation of these regions from the tongue image. The tongue tip reflects the pathological changes in the heart and lungs, while the bilateral sides of the tongue reflect that of the liver and gallbladders. The pathological changes in the spleen and stomach are mirrored by the center of tongue, while changes in the kidneys, intestines, and bladder section correspond to the tongue root.


Automated Tongue Feature Extraction for ZHENG Classification in Traditional Chinese Medicine.

Kanawong R, Obafemi-Ajayi T, Ma T, Xu D, Li S, Duan Y - Evid Based Complement Alternat Med (2012)

Tongue areas and their correspondence to internal organs in TCM.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3369473&req=5

fig1: Tongue areas and their correspondence to internal organs in TCM.
Mentions: TCM believes that the tongue has many relationships and connections in the human body, both to the meridians and the internal organs. It is, therefore, very useful and important during inspection for confirming TCM diagnosis as it can present strong visual indicators of a person's overall physical and mental harmony or disharmony. In TCM, the tongue is divided into tongue tip, tongue margins, tongue center, and tongue root. Figure 1(a) shows each part of the tongue and its correspondence to different internal organs according to TCM while Figure 1(b) illustrates how we geometrically obtain an approximation of these regions from the tongue image. The tongue tip reflects the pathological changes in the heart and lungs, while the bilateral sides of the tongue reflect that of the liver and gallbladders. The pathological changes in the spleen and stomach are mirrored by the center of tongue, while changes in the kidneys, intestines, and bladder section correspond to the tongue root.

Bottom Line: It defines the theoretical abstraction of the symptom profiles of individual patients and thus, used as a guideline in disease classification in Chinese medicine.We propose a novel-color-space-based feature set, which can be extracted from tongue images of clinical patients to build an automated ZHENG classification system.The experimental results obtained over a set of 263 gastritis patients, most of whom suffering Cold Zheng or Hot ZHENG, and a control group of 48 healthy volunteers demonstrate an excellent performance of our proposed system.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Informatics Institute, University of Missouri, Columbia, MO 65211, USA.

ABSTRACT
ZHENG, Traditional Chinese Medicine syndrome, is an integral and essential part of Traditional Chinese Medicine theory. It defines the theoretical abstraction of the symptom profiles of individual patients and thus, used as a guideline in disease classification in Chinese medicine. For example, patients suffering from gastritis may be classified as Cold or Hot ZHENG, whereas patients with different diseases may be classified under the same ZHENG. Tongue appearance is a valuable diagnostic tool for determining ZHENG in patients. In this paper, we explore new modalities for the clinical characterization of ZHENG using various supervised machine learning algorithms. We propose a novel-color-space-based feature set, which can be extracted from tongue images of clinical patients to build an automated ZHENG classification system. Given that Chinese medical practitioners usually observe the tongue color and coating to determine a ZHENG type and to diagnose different stomach disorders including gastritis, we propose using machine-learning techniques to establish the relationship between the tongue image features and ZHENG by learning through examples. The experimental results obtained over a set of 263 gastritis patients, most of whom suffering Cold Zheng or Hot ZHENG, and a control group of 48 healthy volunteers demonstrate an excellent performance of our proposed system.

No MeSH data available.


Related in: MedlinePlus