• Title, Summary, Keyword: tongue

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Color Characteristic on Tongue Image of Malignant Neoplasm Patients (종양환자의 설 색상 특성에 관한 정량적 연구)

  • Eo Yun-Hye;Kim Ji-Eun;Yoo Hwa-Seung;Park Kyung-Mo
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.19 no.5
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    • pp.1437-1442
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    • 2005
  • Tongue Diagnosis is the important traditional oriental medical diagnosis method that observes not only the general physiological state but also some kinds of disease. However, manual tongue diagnosis is much influenced by surrounding illumination. Therefore, Digital Tongue Inspection System(DigiTis) is needed for the quantification of objective tongue information, In this research, Tongue images of 98 malignant Neoplasm patients and 34 normal persons were collected by Digital Tongue Inspection System. Statistical analysis of tongue images and patient data indicates that cancer group has more blue-purple components in tongue body(舌質) and yellow components in tongue coating than normal group. Also, there are a lot of rose-pink components in the cancer group of second stage and blue-purple components in the cancer group of third or fourth stage. Our study shows that tongue image is a useful index for distinction between disease and health. Furthermore we need more extended research through the additional sampling and various disease.

The effect of tongue cleaner-equipped manual toothbrush on tooth and tongue cleanness and malodor index (혀 세정기가 부착된 수동칫솔이 치아와 혀의 세정도 및 구취 관리도에 미치는 영향)

  • Kim, Tae-Il;Hong, Sam-Pyo;Lee, Shin-Jae;Kang, Bong-Sun;Oh, Young-Sang;Kim, In-Kyung;Oh, Mi-Hyun
    • Journal of Periodontal and Implant Science
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    • v.38 no.4
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    • pp.699-708
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    • 2008
  • Purpose: The aim of this study was to investigate the effect of tongue cleaner-equipped manual toothbrush on tooth cleanness, tongue cleanness and malodor index. Materials and methods: 504 subjects were included in this study. At 1st visit, basic information such as age, sex, smoking amount and alcohol consumption was recorded. Self assessment by individual subjects was performed regarding satisfaction to old toothbrush and toothbrushing habit. Tooth cleanness, tongue cleanness and malodor index was assessed by professional researcher. Tongue cleaner-equipped manual toothbrush was given to each subject with proper toothbrushing instruction. After 1 month passed, self assessment and researcher assessment regarding the same index were performed and analyzed statistically by chi-square test. Results: At 1st visit subjects seem to ignore tongue cleansing and showed poor tooth cleanness index, tongue cleanness index and malodor index, however the same subjects were motivated to clean their tongue and teeth and presented statistically improved distribution pattern in tooth cleanness index, tongue cleanness index and malodor index after using tongue cleaner-equipped manual toothbrush(p<0.01). Satisfaction to tongue cleaner-equipped manual toothbrush was 98%. Conclusion: Tongue cleaner-equipped manual toothbrush would be an effective tool for maintaining good oral hygiene through improving tooth and tongue cleanness and preventing malodor formation.

The Characteristics of Tongue Inspection and Relationship between Tongue Inspection and Differenitiation of Syndrome (중풍초기환자의 설상(舌象) 분포와 변증의 유용성에 관한 임상고찰)

  • Choi, Dong-Jun;Park, Sung-Uk;Moon, Sang-Kwan;Joh, Ki-Ho;Kim, Young-Suk;Bae, Hyung-Sup;Lee, Kyung-Sup
    • The Journal of Korean Medicine
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    • v.20 no.2
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    • pp.187-197
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    • 1999
  • To assess the usefulness of tongue inspection for evaluating the Pattern identification in oriental medicine, we observed stroke patient's tongue and tongue coat and compared it with Pattern identification. The test group was composed of 85 acute stroke stage patients(within 72 hours of onset). Subjects were randomly selected from stroke patients admitted in the KyungHee University, Hospital of Oriental Medicine from December 1 1998 to June 30 1999. We took pictures of patient's tongue and tongue coat within 72hours from onset and checked Pattern identification at the same time. Tongues colored pale rose or red greatly outnumbered other colors. Tongue shape tended to be prickly or fissured, and tongue condition tended to be unflexible or deviated. Regarding tongue coat color, there were great amounts of yellow or clark yellow tongue coats, which were moist, thick or greasy in substance. The red tongue was significantly related to Fire-heat and deficiency of Yin syndrome, while faint white tongue to Damp syndrome(P=0.006). In terms of tongue coat, thin coat was related to Wind and Fire-heat syndromes, thick coat to Damp and Blood stasis syndrome, respectively (P=0.002). In conclusion, we thought that tongue inspection could be a useful Oriental medicine diagnosis in stroke.

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A Case of Granulation Tissue of the Tongue in Infant (영아의 혀에 발생한 육아조직 1례)

  • Lee, Hee-Jung;Yun, Eun-Sil;Choi, Joon-Hyuk;Choi, Kwang-Hae
    • Yeungnam University Journal of Medicine
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    • v.22 no.2
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    • pp.247-252
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    • 2005
  • Tongue tumors of pediatric patients are the most common soft tissue tumor of pediatric oral and maxillofacial tumors. There are many kind of pediatric tongue lesions such as hemangioma, lymphangioma, papilloma, and cyst. Most of these lesions are benign, but malignant tumors of tongue may be occurred. Therefore, malignancy should be ruled out. Sometimes, tongue lesions are present with dyspnea, dysphagia, dysarthria, bleeding, or cosmetic problem. We experienced a case of chronic inflammatory mass on posterior 1/3 of the tongue in 4 month old female patient. Swallowing difficulty and respiratory distress symptom occurred because of tongue mass effect. The tongue mass was confirmed as granulation tissue by microscopic examination. After excision of tongue mass, she had no problem with swallowing and breathing.

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Development of the non contact tongue moisture measuring device (비접촉식 설면 습윤도 측정 기구의 개발)

  • Kim, Dae-Bok;Park, Yu-Gyung;Kim, Ki-Wang
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.14 no.2
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    • pp.67-74
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    • 2010
  • Objectives: Tongue moisture is one of major features in tongue diagnosis of Oriental Medicine. But with regard to the methods to qualify the tongue moisture level, there have been no adequate modalities to satisfy clinicians' needs. So we developed an novel device and method to quantify the tongue moisture level without contact. Methods and Materials: Ratio of saturated area to total tongue area in the image captured with a spot light at various angles was calculated. We regarded that ratio represented the moisture of tongue surface. To evaluate the performance of suggested method, we observed the correlation between conventional contact method and our method with 19 healthy subjects. Results: With comparison to conventional contact method (Schirmer test), the suggested method showed good correlation (R = 0.8602, R2 = 0.7399). Conclusion: This Method could be a convenient and robust method to evaluate tongue moisture.

Basic Tongue Diagnosis Indicators for Pattern Identification in Stroke Using a Decision Tree Method

  • Lee, Ju Ah;Lee, Jungsup;Ko, Mi Mi;Kang, Byoung-Kab;Lee, Myeong Soo
    • The Journal of Korean Medicine
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    • v.33 no.4
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    • pp.1-8
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    • 2012
  • Objectives: The purpose of this study was to specify major tongue diagnostic indicators and evaluate their significance in discriminating pattern identification subtypes in stroke patients. Methods: This study used a community based multi-center observational design. Participants (n=1,502) were stroke patients admitted to 11 oriental medical university hospitals between December 2006 and February 2010. To determine which tongue indicator affected each pattern identification, a decision tree analysis of the chi-square automatic interaction detector (CHAID) algorithm was performed. The chi-squared test was used as the criterion in splitting data with a p-value less than 0.05 for division, which is the main procedure for developing a decision tree. The minimum sample size for each node was specified as n =10, and branching was limited to two levels. Results: From the 9 tongue diagnostic indicators, 6 major tongue indicators (red tongue, pale tongue, yellow fur, white fur, thick fur, and teeth-marked tongue) were identified through the decision tree analysis. Furthermore, each pattern identification was composed of specific combinations of the 6 major tongue indicators. Conclusions: This study suggests that the 6 tongue indicators identified through the decision tree analysis can be used to discriminate pattern identification subtypes in stroke patients. However, it is still necessary to re-evaluate other pattern identification indicators to further the objectivity and reliability of traditional Korean medicine.

Development of System Configuration and Diagnostic Methods for Tongue Diagnosis Instrument (설진 기기의 시스템 구성 및 진단 방법 개발)

  • Kim, Keun-Ho;Do, Jun-Hyeong;Ryu, Hyun-Hee;Kim, Jong-Yeol
    • Korean Journal of Oriental Medicine
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    • v.14 no.3
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    • pp.89-95
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    • 2008
  • A tongue shows physiological and clinicopathological changes of inner organs. Visual inspection of a tongue is not only convenient but also non-invasive. To develop an automat ic tongue diagnosis system for an objective and standardized diagnosis, the separation of the tongue are a from a facial image and the detection of coatings, spots and cracks are inevitable but difficult since the colors of a tongue, lips, and skin in a mouth as well as those of tongue furs and body are similar. The propose d method includes preprocessing with down-sampling and edge enhancement, over-segmentation, detecting positions with a local minimum over shading from the structure of a tongue, and correcting local minima or detecting edge with color difference. The proposed method produces the region of a segmented tongue, and then decomposes the color components of the region into hue, saturation and brightness, resulting in classifying the regions of tongue furs(coatings) into kinds of coatings and substance and segmenting them. Spots are detected by using local maxima and the variation of saturation, and cracks are searched by using local minima and the directivity of dark areas in brightness. The results illustrate the segmented region with effective information, excluding a non-tongue region and also give us accurate discrimination of coatings and the precise detection of spots and cracks. It can be used to make an objective and standardized diagnosis for an u-Healthcare system as well as a home care system.

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A Literature Review on Diagnostic Importance of Tongue Diagnosis (설진(舌診)의 진단적 의의에 대한 문헌고찰)

  • Shin, Yoon-Jin;Kim, Yoon-Bum;Nam, Hye-Jeong;Kim, Keoo-Seok;Cha, Jae-Hoon
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.20 no.3
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    • pp.118-126
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    • 2007
  • Tongue diagnosis is a profound and special part of the whole Oriental Medicine. We examined the method, the principle and the meaning of tongue diagnosis according to a literature cited, considered a meaning of tongue diagnosis. As a result, we come to a conclusion like that. 1. Tongue is related with internal organs by meridian system, especially has a direct connection with heart and spleen. 2. The heart, a master of internal organs, has its specific opening in the tongue. The spleen, source of nutrients for growth and development, has its specific body opening in the mouth. So tongue reflects states of internal organs, Qi, blood, the constructive energy and the defensive energy. 3. When doing tongue diagnosis, we must pay attention to the position and the order of inspection of the tongue. We must diagnose by referring to a ray of light, diet, season, age, physical constitution, habit and taste, can make a accurate diagnosis. 4. We can classify constitutions, distinguish syndromes, suppose prognosis, make a prescription by using tongue diagnosis. 5. Reddened tip of the tongue represents flaring-up of the heart fire, and it means psychologic stress. Dental identations on the tongue edges represents deficiency of Qi of the spleen, and it means physiologic fatigue. 6. Through observing humidity of fur of the tongue, we can guess psychologic stress and physiologic fatigue. Through observing thickness of fur of the tongue, we can guess function of spleen and stomach.

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Basic Research for the Recognition Algorithm of Tongue Coatings for Implementing a Digital Automatic Diagnosis System (디지털 자동 설진 시스템 구축을 위한 설태 인식 알고리즘 기초 연구)

  • Kim, Keun-Ho;Ryu, Hyun-Hee;Kim, Jong-Yeol
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.23 no.1
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    • pp.97-103
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    • 2009
  • The status and the property of a tongue are the important indicators to diagnose one's health like physiological and clinicopathological changes of inner organs. However, the tongue diagnosis is affected by examination circumstances like a light source, patient's posture, and doctor's condition. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, classifying tongue coating is inevitable but difficult since the features like color and texture of the tongue coatings and substance have little difference, especially in the neighborhood on the tongue surface. The proposed method has two procedures; the first is to acquire the color table to classify tongue coatings and substance by automatically separating coating regions marked by oriental medical doctors, decomposing the color components of the region into hue, saturation and brightness and obtaining the 2nd order discriminant with statistical data of hue and saturation corresponding to each kind of tongue coatings, and the other is to apply the tongue region in an input image to the color table, resulting in separating the regions of tongue coatings and classifying them automatically. As a result, kinds of tongue coatings and substance were segmented from a face image corresponding to regions marked by oriental medical doctors and the color table for classification took hue and saturation values as inputs and produced the classification of the values into white coating, yellow coating and substance in a digital tongue diagnosis system. The coating regions classified by the proposed method were almost the same to the marked regions. The exactness of classification was 83%, which is the degree of correspondence between what Oriental medical doctors diagnosed and what the proposed method classified. Since the classified regions provide effective information, the proposed method can be used to make an objective and standardized diagnosis and applied to an ubiquitous healthcare system. Therefore, the method will be able to be widely used in Oriental medicine.

An Effectiveness Verification for Evaluating the Amount of WTCI Tongue Coating Using Deep Learning (딥러닝을 이용한 WTCI 설태량 평가를 위한 유효성 검증)

  • Lee, Woo-Beom
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.4
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    • pp.226-231
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    • 2019
  • A WTCI is an important criteria for evaluating an mount of patient's tongue coating in tongue diagnosis. However, Previous WTCI tongue coating evaluation methods is a most of quantitatively measuring ration of the extracted tongue coating region and tongue body region, which has a non-objective measurement problem occurring by exposure conditions of tongue image or the recognition performance of tongue coating. Therefore, a WTCI based on deep learning is proposed for classifying an amount of tonger coating in this paper. This is applying the AI deep learning method using big data. to WTCI for evaluating an amount of tonger coating. In order to verify the effectiveness performance of the deep learning in tongue coating evaluating method, we classify the 3 types class(no coating, some coating, intense coating) of an amount of tongue coating by using CNN model. As a results by testing a building the tongue coating sample images for learning and verification of CNN model, proposed method is showed 96.7% with respect to the accuracy of classifying an amount of tongue coating.