• Journal of Multimedia Information System
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• v.6 no.2
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• pp.99-106
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• 2019

In traditional Chinese medical (TCM) science, tongue images can be observed for medical diagnosis; however, the tongue diagnosis of TCM is influenced by the subjective factors of doctors, and the diagnosis results vary from person to person. Quantitative TCM tongue diagnosis can improve the accuracy of diagnosis and increase the application value. In this paper, digital image processing and pattern recognition technologies are employed on mobile device to classify tongue images collected in different health states. First, through grayscale integral projection processing, the trough is found to localize the tongue body. Then the tongue body image is transferred from RGB color space to HSV color space, and the average H and S values are considered as the color features. Finally, the diagnosis results are obtained according to the relationship between the color characteristics and physical symptoms.

• The Journal of the Convergence on Culture Technology
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• v.3 no.4
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• pp.207-212
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• 2017

Tongue diagnosis is widely used in Oriental medicine and Western medicine. The reason is that human tongue provides various information. Analysis of the tongue can reveal various diseases and health information. Tongue diagnosis using mobile environment provides convenience for users. With this, it is possible to diagnose the disease according to the user anytime and anywhere. This can show a new paradigm of medical devices.

• 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.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.428-434
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• 2015

A new tongue examination model by using color analysis according to the taste division of tongue. The proposed system consists of a tongue image acquisition in a predefined template, taste region segmentation, color distribution analysis and abnormality decision of tongue by color analysis using Hue-Saturation histograms and the part of a mobile application service. We divided 4 basic taste(bitter, sweet, salty and sour) regions and performed color distribution analysis targeting each region under HSI(Hue Saturation Intensity) color model. To minimize the influence of illumination, the histograms of H and S components only except U are utilized. Using the analyzed results, the abnormality is discriminated by the criteria of the histogram range of normal tongues. Finally, a self tongue diagnosis system which can be used anytime and anywhere on mobile environment.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.17 no.2
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• pp.77-89
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• 2013

Objectives Tongue diagnosis is an important diagnostic method in traditional Eastern medicine, and it has a high potential to be used in the future healthcare because of easy, quick, and non-contact measuring features. Recently, research and development efforts on computerized tongue diagnosis systems (CTDS) have been active that led to the technical advancements in the field of photographing techniques, image extraction and classification algorithms. In this study, we analyzed the trends in the CTDS patents. Using the WIPS search engine (www.wipsglobal.com), quantitative and qualitative patent analyses were performed through Korea, China, Japan, U.S.A and Europe. Methods For a systematic search and data analysis, we defined patent categories based on the application area and technical details. By applying thus-obtained categorical key words, we obtained 360 relevant patents on photographing techniques, image extraction and classification algorithms for the purpose of diagnosis or security. Results As a result, companies related to image acquisition, medical imaging and mobile devices and research groups of universities in East Asia were major patent applicants. In all the five countries, the number of patents have been increasing since 1980. In particular, technology related to color correction and image segmentation were most actively patented categories, and expected to continue a high application rate.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.29 no.3
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• pp.1-13
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• 2016

Objectives : We conducted a survey aimed at developing a personal health record application for the treatment of atopic dermatitis in Korean medicine .Methods : We conducted a survey on Korean medicine doctors who attended the Korean Medicine Ophthalmology and Otolaryngology and Dermatology conference 2016. The questionnaire was based on priority of usage of the diagnostic indices and tools, and intention to use the personal health record application for treatment of atopic dermatitis in the clinic.Results : Data were collected from 50 Korean medicine doctors. Ninety-six per cent of respondents replied that they were willing to use the personal health record application for treating atopic dermatitis. Among the diagnostic indices related to atopic dermatitis, Korean medicine doctors regarded the following as important in the order of priority, i.e., condition of skin, lifestyle, risk factors, symptoms other than those of skin, past history, family history and medical history, results of tongue, pulse, and abdomen investigation, and constitution. These results did not vary with the purpose of diagnosis, and the results were consistent with those obtained with the intention to use diagnostic. Over 50% of respondents replied that they use immunoglobulin E, scoring atopic dermatitis, and visual analogue scale among the diagnostic tools.Conclusions : Our survey was conducted on clinicians who are the intended users of the personal health record application for the treatment of atopic dermatitis; hence, the results of this study can be helpful for developing a useful personal health record application for atopic dermatitis in the clinic.