• Title/Summary/Keyword: 설진(舌診)

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Development of a mobile healthcare application based on tongue diagnosis (설진 기반 모바일 건강관리 애플리케이션 개발)

  • Kim, Jihye;So, Jiho;Choi, Woosu;Kim, Keun-Ho
    • 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.

Smart Tongue Electronic Chart System (스마트 설진 전자챠트 시스템)

  • Hong, You-Sik
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.243-249
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    • 2012
  • These days it is becoming more and more common to find electronic medical screening systems installed in Oriental hospitals and clinics. This is a relatively new development for the practice of traditional Oriental medicine. Specifically, Pulse detection machines are being utilized in order to help determine a patient's disease scientifically. However, identifying and diagnosing the specific disease correctly for each patient is still very difficult in Oriental medicine. The intention of this paper is to propose a solution which uses two separate Electronic systems working together to produce a better likelihood of finding the correct diagnosis for each patient. It is proposed that an EMR intelligent electronic chart system be developed and employed, which would utilize both Pulse wave system and a tongue detection system at the same time, in order to solve the problem. Computer simulation results have proven to show that EMR systems used in hospitals and clinics are more efficient and yield a more accurate diagnosis than traditional methods.

Coated Tongue Region Extraction using the Fluorescence Response of the Tongue Coating by Ultraviolet Light Source (설태의 자외선 형광 반응을 이용한 설태 영역 추출)

  • Choi, Chang-Yur;Lee, Woo-Beom;Hong, You-Sik;Nam, Dong-Hyun;Lee, Sang-Suk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.181-188
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    • 2012
  • An effective extraction method for extracting a coated tongue is proposed in this paper, which is used as the diagnostic criteria in the tongue diagnosis. Proposed method uses the fluorescence response characteristics of the coated tongue that is occurred by using the ultraviolet light. Specially, this method can solved the previous problems including the issue in the limits of the diagnosis environment and in the objectivity of the diagnosis results. In our method, original tongue image is acquired by using the ultraviolet light, and binarization is performed by thresholding a valley-points in the histogram that corresponds to the color difference of tongue body and tongue coating. Final view image is presented to the oriental doctor, after applying the canny-edge algorithm to the binary image, and edge image is added to the original image. In order to evaluate the performance of the our proposed method, after building a various tongue image, we compared the true region of coated tongue by the oriental doctor's hand with the extracted region by the our method. As a result, the proposed method showed the average 87.87% extraction ratio. The shape of the extracted coated tongue region showed also significantly higher similarity.

The tongue region detection and color information analysis (혀 영역 검출 및 색상 정보 분석)

  • Gang, Seon-Gyeong;Jeong, Seong-Tae
    • Proceedings of the Korea Multimedia Society Conference
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    • 2012.05a
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    • pp.374-377
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    • 2012
  • 본 논문은 다양한 조명환경에서의 실시간 설진 진단을 위한 혀 영역 검출 및 영역 분할 방법을 제안한다. 임의의 환경에서 얻어낸 이미지에서 혀 영역의 추출과 추출된 영역에서의 혀의 상태를 진단하는 데는 많은 어려움이 있다. 다양한 조명환경에서의 영상으로부터 혀 영역을 추출하기 위하여 본 논문에서는 ASM을 이용한다. 검출된 영역을 6개의 영역으로 영역 분할한 다음 HSV영상으로 변환하고 색상 정보를 분석함으로써 신체의 건강상태를 판별하는 방법을 제한한다.

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Extraction of Face Type and Tongue Color Analysis for Diseases Diagnosis in Web-Based Environments (웹 기반 환경에서 질병 진단을 위한 얼굴형 추출 및 설색 분석)

  • Cho, Dong-Uk;Kim, Bong-Hyun;Lee, Se-Hwan
    • The KIPS Transactions:PartB
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    • v.14B no.2
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    • pp.71-80
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    • 2007
  • In this paper, We propose face type classification, tongue region extraction and tongue color analysis method for Oriental medicine diagnosis system to supply web based medical treatment information. This presents to construct system that takes super aging society and uses ocular inspection and longue diagnosis in web-based to embody this by an IT Technology as generalization and popularization of medical benefit are social requirement and supplies medical treatment information. Place that reflect living body signal of human body ordinarily and appear becomes iris or tongue, five sensory organs etc. This paper proposes classification of face type, extraction of five sensory organs for observing a person's shape and color among diseases diagnosis based on home health care that propose to develop and region extraction and color analysis etc, of tongue which intensively represents the bio-signals of human-beings. Finally, the effectiveness of this paper is verified by several experiments.

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.

Study on the Individual Characteristic Factor by the Inspection of Face Colour and Tongue & the Auscultation and Olfaction (면색(面色), 설진(舌診), 음성(音聲) 문진(聞診)에서의 개체성(個體性) 관찰에 대한 문헌적 연구)

  • Kim, Jae Phil;Kim, Gyeong Cheol;Lee, Jeong Won
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.28 no.5
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    • pp.478-485
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    • 2014
  • In order to the excellent differentiation of syndromes, we study on the individual characteristic factor by the inspection of face colour and tongue & the auscultation and olfaction. To the subject of diagnosis special books and diagnostics textbook of korean medicine, we arrange the individual characteristic factor by the inspection of face colour and tongue & the auscultation and olfaction. The inspection on the individual characteristic factor was analyzed the face colour, inspection of tongue. The auscultation and olfaction on the individual characteristic factor was analyzed the 25 types by the five-voice (五音) in Huang Di Nei Jing (黃帝內經). As the results, the individual characteristic factor is very important item of the four methods of diagnosis and the differentiation of syndromes. And Therefore the process on four methods of diagnosis and differentiation of syndromesis is necessary to divide the signs of individual characteristic factor and the signs of disease.

Clinical Study for tongue change on Weak Children (허약(虛弱)을 주소(住所)로 내원한 환아(患兒)의 설진(舌診)에 대한 임상적 고찰)

  • Yu Sun-Ae;Lee Seung-Yeun
    • The Journal of Pediatrics of Korean Medicine
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    • v.15 no.2
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    • pp.101-109
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    • 2001
  • A clinical observation by the tongue change as a diagnostic method was made on 36 week children visited to Dongeui Oriental Medical Hospital from August. 2001 to December 2001 and the observed results were summarized as follows. 1. Their symptoms have been observed with sequences of Resparatory diseases, Digestive, Neuromotor, Psycho-neurological, Urogenital diseases 2. Distribution of sex : male 22 cases, female 14 cases 3. Distribution of age : 0-6 years 24 cases, 7-18 years 12 cases 4. The texture of tongue was resulted in tongue color in pink-28 cases, red-8 case, and shape in thin-18 cases, swelling-6 cases, a fissured patten-5 cases, a prickly patten-4 cases, and a map patten-3 cases, and fur of the tongue in thin-26 cases, moisten-8 cases, deep-2 cases, and coating color of the tongue in thin and whitish-15 cases, thin and yellowish-9 cases, lack-8 cases, deep and whitish-4 cases. 5. The texture of tongue in connection with weak children was come out mostly normal state and the rest red color, a fissured patten, a prickly patten, deep coating, thin and yellowish etc appeared to cause of slight damage due to exogenous pathogenic fators and due to internal injury.

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A Study on Clinical Application of Tongue Diagnosis (설진(舌診)의 임상활용에 관한 연구)

  • Kim, Bin-Na-Ra;Oh, Min-Seok
    • Journal of Korean Medicine Rehabilitation
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    • v.23 no.3
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    • pp.149-157
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    • 2013
  • Objectives This study was designed to: (1) investigate the clinical feature of tongue diagnosis, (2) make an observation of significant changes in tongue diagnosis according to the patient's physical condition and laboratory result and (3) identify clinical efficacy of tongue diagnosis. Methods 300 patients' tongue diagnosis results were analyzed and the patients were divided to each group according to the physical condition and laboratory result. Then, chi-square test was performed to assess statistical significance between tongue diagnosis results of each group. Results As a result of analyzing the spread of tongue diagnosis according to the patient's physical condition and laboratory result, 18 groups had statistical significance related to specific tongue color and tongue coating. Conclusions Even if there would be possible misinterpretations in one-to-one match between the tongue diagnosis and certain diseases, we identified that tongue diagnosis results were changed somewhat related to patient's physical condition with some tendency and tongue diagnosis could be used for meaningful clinical diagnostic tool.

A Comparative Study on the Tongue Diagnosis between Korean medicine and Ayurveda (한의학과 아유르베다에서의 설진(舌診)에 대한 비교 연구)

  • Jung, A Ram;Lee, Hye-Yoon;Hwang, Man-Suk
    • The Journal of Korean Medicine
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    • v.40 no.2
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    • pp.63-71
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    • 2019
  • Objectives: The purpose of this study is to compare and analyze Tongue Diagnosis of Korean medicine with that of Ayurveda. Methods: In this article, first we introduced concept of Tongue Diagnosis based on physiological view. Further, we also reviewed published works including books and articles. Then, we reviewed Ayurveda to find similar concepts to Vicera Assignment on Tongue, and analyzed the comparison between the relevant contents of Korean medicine and Ayurveda. Results: In Ayurveda, they divided vicera into two part (right and left) and some elements of vicera were assigned to either side of divided tongue. In Korean medicine, a tongue is divide into three parts of Sangcho(上焦, Shang Jiao), Jungcho(中焦, Zhong Jiao) and Hacho(下焦, Xia Jaio) ; similarly, in Ayurveda, they divide a tongue into three regions of VATA, PITTA, KAPHA. Conclusion: It can be inferred from the relationship between portions of a tongue and vicera of a body that Korean medicine and Ayurveda have a close relationship.