• The Journal of the Society of Korean Medicine Diagnostics
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• v.22 no.1
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• pp.1-10
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• 2018

Objectives The purpose of this study is to compare the representative differential diagnosis methods of blood stasis pattern used in Korea, China and Japan, and then to characterize each diagnostic method. Methods Through the journal databases, we have selected representative tools that were developed for differential diagnosis of blood stasis pattern in Korea, China and Japan. In order to characterize the selected check-lists or questionnaires, we investigated the number of items, contents, score calculation method, internal consistency, and accuracy of each selected tool. Results A total of four diagnostic tools were finally selected; quantitative diagnosis scale of blood stasis syndrome (QDSBSS), diagnostic criteria for blood stasis (DCBS), blood stasis questionnaire (BSQ), and blood stasis syndrome questionnaire (BSSQ). The key points in the differential diagnosis for blood stasis were different for each of the diagnostic tool. The key point was oral mucosa (including tongue) status in the QDSBSS. Meanwhile it was abdominal pain/resistance in the DCBS, and general pain in the BSQ. Accuracy of the QDSBSS, the BSQ and the BSSQ were powerful but all of them was not generalized. Conclusions Therefore, it is desirable to select and apply a plurality of appropriate tools according to the characteristics of the blood stasis patients.

• Journal of Electrical Engineering and Technology
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• v.12 no.1
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• pp.420-427
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• 2017

This paper proposes a new method using Wide Line Detector based statistical shape Feature (WLDF) to identify whether or not a tongue is cracked; a cracked tongue is one of the most frequently used visible features for diagnosis in traditional Chinese Medicine (TCM). We first detected a wide line in the tongue image, and then extracted WLDF, such as the maximum length of each detected region, and the ratio between maximum length and the area of the detected region. We trained a binary support vector machine (SVM) based on the WLDF to build a classifier for cracked tongues. We conducted an experiment based on our proposed scheme, using 196 samples of cracked tongues and 245 samples of non-cracked tongues. The results of the experiment indicate that the recognition accuracy of the proposed method is greater than 95%. In addition, we provide an analysis of the results of this experiment with different parameters, demonstrating the feasibility and effectiveness of the proposed scheme.

• Journal of Korean Medicine for Obesity Research
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• v.20 no.1
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• pp.40-51
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• 2020

Objectives: We aimed to compare the quality of sleep, tongue diagnosis, oral microbiology differences in insomnia of Liver qi stagnation (LQS) and Non-Liver qi stagnation (NLQS). Methods: 56 patients were classified as LQS or NLSQ type insomnia through the insomnia differentiation questionnaire. The depression scores between the groups were compared through beck depression inventory (BDI), and the sleep quality was compared through Pittsburgh sleep quality index (PSQI) and Insomnia Severity Index (ISI). We analyzed the sleep efficiency, total sleep time, total awake frequency, total and average awake time through actigraph. For the tongue diagnosis, the distribution of tongue coating in six areas were measured through Winkel tongue coating index (WTCI). Linear discriminant analysis was performed to observe the differences in composition of microbial strains between the groups. Results: The scores of BDI, ISI and PSQI were significantly higher in LQS group. The total sleep time in LQS group was significantly less than that of NLQS group. Among the areas of tongue, according to the WTCI, the amount of tongue coating in zones A and C was significantly small. In oral microbial analysis, there was no significant difference between the groups at the phylum level. At the genus level, Prevotella, Veillonella, and Streptococcus were predominant in LQS group, whereas Prevotella, Neisseria, and Streptococcus in NLQS group. Conclusions: It was meaningful that insomnia was more likely in LQS group than in NLQS group, and the composition of oral microorganisms was significantly different, which could lead to the diseases caused by stress.

• Journal of Korean Medical classics
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• v.26 no.2
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• pp.47-59
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• 2013

Objective : Syndrome differentiation(辨證) has clinical importance in East Asian Traditional Medicine. There are several ways for Syndrome differentiation. However, Eight Principle Pattern Identification(八綱辨證) is the base of other Syndrome differentiations. Of the physicians focused on Eight Principle Patterns(八綱), I have researched for Eight Principle Pattern Identification concerning with Zhang Jie-Bin(張介賓), Cheng Guo-Peng(程國彭), and Jiang Han-Tun(江涵暾) in Ming(明) and Qing(淸.) Method : Applying to Eight Principle Pattern Identification, I have researched comparatively for 3 kinds for. First, Zhang Jie-Bin's Jingyuequanshu(景岳全書) that involves Yinyangpian(陰陽篇), Liubianbian(六變辨), Biaozhengpian(表證篇), Lizhengpian(裏證篇), Xushipian(虛實篇), and Hanrepian(寒熱篇), secondly, Cheng Guo-Peng's Yixuexinwu(醫學心悟) Hanrexushibiaoliyinyangbian(寒熱虛實表裏陰陽辨), at lastly Jiang Han-Tun's Bihuayijing(筆花醫鏡) Biaolixushihanreyinyangbian(表裏虛實寒熱辨). Results : All of sick cases can be explained totally by Eight Principle Patterns. Of Eight Principle Patterns, Yin(陰) and Yang(陽) include last Six Principle Patterns(六綱 : 表裏, 寒熱, 虛實). Six Principle Patterns can be divided normally by 6 pulses(六脈 : 浮沈 遲數 虛實). In all of pain cases, feeling comfortable(可按) or discomfortable(拒按) to palpation can be important foundation for distinguishing Xu(虛) from Shi(實). Physical constitution(體質) for Hanre Xushi(寒熱 虛實) and tongue-diagnosis(舌診) for Biaoli Hanre(表裏 寒熱) are used effectively. Related with tongue-diagnosis, tongue-coating(舌苔) for Biaoli and tongue status(舌質) for Hanre are used effectively. Symptoms should be divided following this sequence, Biaoli ${\rightarrow}$ Hanre ${\rightarrow}$ Xushi and lastly should be summarized of Yinyang. Conclusion : Diagnosing with Eight Principle Patterns, digestive function, urine, and feces should be checked at first. In addition, the pulse, tongue, physical constitution, and good or bad from palpation(觸診), these should be checked and give a result. And then the result can be an important evidence of syndrome differentiation. As a result, it would be the best to diagnosis that discriminating the sequence as Biaoli Hanre Xushi and summarizing with Yinyang.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1219-1223
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• 2006

Tongue is one of the most important parts in patient diagnosis in traditional Korean(Chinese) medicine. This paper presents health monitoring method using tongue images of a person. The method uses not absolute tongue features but relative ones which are differences from reference health condition(RHC), diagnosed in hospital, for a person. A user can give tongue images to a health monitoring system everyday, which extracts regions of interest (ROI's) of the tongue, and compares their features with reference health condition. In the experiments, tongue image analysis for a person by our computerized method encouraged us that the method using tongue images can be contributed for health monitoring.

• The Journal of Internal Korean Medicine
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• v.39 no.4
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• pp.637-644
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• 2018

Objectives: In this study, the tongue features of patients with functional dyspepsia (FD) were compared with those of healthy controls. Methods: This prospective, case-control study was conducted on patients with FD and controls recruited at a single center. After screening, the subjects were allocated to the patient or control groups (patients=42, controls=40). Tongue images were acquired using a computerized tongue image acquisition system (CTIS). An independent t-test was conducted to compare the measurements from patients and controls. Binary logistic regression was performed to determine significant differences between the two groups after adjusting for age and sex. Results: The CIE $a^*$ color value in the tongue coating area was significantly lower in the patients with FD than in the controls (p=0.001). The tongue coating ratios were also significantly higher in the FD group than in the control group (p=0.003). We found that the CIE $a^*$ color value in the tongue coating area and the tongue coating ratios were significant predictive factors in both groups, based on binary regression analysis (p=0.016, 0.044, respectively). Conclusions: This study found that FD was significantly associated with CIE $a^*$ color value in the tongue coating area and tongue coating ratios. We suggest that these factors could be used as objective indicators of FD.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.65-72
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• 2016

A mobile healthcare application is a healthcare software application designed to run on mobile devices such as smartphone and tablet computers. Mobile healthcare applications have enormous potential for monitoring and care everyday living of patient with chronic disease. In fact, mobile healthcare applications are found to be active in various fields. However, the development is rarely done in Korean medicine field. The aim of this study was to develop the healthcare application based on the tongue diagnosis. The process included planning, designing, programming, and revising. Through a pilot study, the application was found the improvement requirement, and to be usable in the real-life settings.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.16 no.1
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• pp.9-18
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• 2012

Objectives The aim of this study is to propose an optimized tongue colour interpolation method to achieve accurate tongue image rendering. Methods We selected 60 colour chips in the chips of DIC color guide selector, and then divided randomly the colour chips into two groups. The colour chips of a group (Gr I) were used for finding the optimized colour correction factor of error and those of the other group (Gr II) were used for verifying the correction factor. We measured colour value of the Gr I colour chips with spectrophotometer, and took the colour chips image with a digital tongue image system (DTIS). We adjusted colour correction factor of error to equal the chip colour from each method. Through that process, we obtained the optimized colour correction factor. To verify the correction factor, we measured colour value of the Gr II colour chips with a spectrophotometer, and took the colour chips image with the DTIS in the two types of colour interpolation mode (auto white balance mode and optimized colour correction factor mode). And then we calculated the CIE-$L^*ab$ colour difference (${\Delta}E$) between colour values measured with the spectrophotometer and those from images taken with the DTIS. Results In auto white balance mode, The mean ${\Delta}E$ between colour values measured with the spectrophotometer and those from images taken with the DTIS was 13.95. On the other hand, in optimized colour correction factor mode, The mean ${\Delta}E$ was 9.55. The correction rate was over 30%. Conclusions In case of interpolating colour of images taken with the DTIS, we suggest that procedure to search the optimized colour correction factor of error should be done first.

• Imaging Science in Dentistry
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• v.52 no.1
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• pp.117-121
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• 2022

This report presents the case of a 49-year-old man who presented with giant masses that had recently grown on the bilateral sides of the tongue. A clinical examination revealed rubbery yellowish lesions protruding from the tongue. A panoramic radiograph showed an enlarged soft tissue shadow of the tongue. Computed tomography showed well-defined circumscribed mass exhibiting a homogeneous low density on the bilateral sides of the tongue. On magnetic resonance images, the masses showed a high signal intensity on T1-weighted images and iso-signal intensity with partially hyperintense margin on fat-suppressed T2-weighted images. Surgical excision was performed, and a histopathologic examination confirmed the diagnosis of lipoma. The patient recovered well with no sign of recurrence. A giant lipoma is defined as a lipoma larger than 5 cm in diameter. A literature review of giant lipomas of the tongue is also presented herein.