Objectives: The basis research of aged people's healthcare technology is very important, because our nation goes into an aged society rapidly. Especially in traditional medicine, pulse shapes of aged people were supposed to weak and empty pulse until now, but any objective measurement and compare research do not taken. Methods and Results: Therefore in this study we design observation study to find characteristic of pulse between younger group (age $20{\sim}30$) and elder group (age $43{\sim}80$) in Busan area. We used 3-dimensional pulse analyzer '3-D MAC' (Daeyomedi Co., Ltd.). And major parameters for comparison are 1) pulse height (h1), 2) applied pressure, 3) pulse power (energy), 4) high pressure duration (w) and 5) R-AI. Conclusions: According to analysis result, elder people's pulse has more large value in pulse height, applied pressure and pulse power than younger's that. It reveals that elder people in modernized lifestyle has Yang symptoms as well Yin symptoms. Consequently we need new method to care elder people's health, and this means more important direction than old text book. From now on verification research with objective diagnosis device like 3-D MAC, must be activated to build of evidence in traditional medicine. Cause traditional medicine's spirit of care and prevention is suitable to care elder people's cardiac and cerebral vascular disease those are have close relation with elder people.

Objectives: For the traditional pulse diagnosis in Oriental Medicine, not only the pulse shape in time domain, but the width, length and depth of arterial pulse also should be measured. However, conventional pulse diagnostic systems have failed to measure the spatial parameters of the arterial pulse e.g. effective length of arterial pulse in the wrist. In fact, there are many ways to measure that kind of spatial features in arterial pulsation, but among them, the method using image sensor provides relatively cheap and simple way, therefore I tested feasibility of measuring 2-dimensional pressure distribution by imaging devices. Methods: Using widely used PC cameras and dotted balloons, the subtle oscillation of skin over the radial artery was recorded continuously, and then the displacement of every dot was calculated. Consequently, the time course of that displacements shows arterial pulse wave. Results: By the proposed method I could get pressure distribution map with 30Hz sampling rate, 21steps quantization resolution, and approximately 1mm spatial resolution. With reduced quantization resolution, $3cm{\times}4cm$ view angle could be achieved. Conclusion: Although this method has some limitations, it would be useful method for detecting 2-dimensional features of arterial pulse, and accordingly, this method provides a novel way to detect 'narrow pulse', 'wide pulse', 'long pulse', 'short pulse', and their derivatives.

Purpose : To review studies about voice diagnosis in orieltal medicine Method : The papers reviewed in this study were searched through internet search engines. For chinese studies, China National Knowledge Infrastructure(www.cnki.net) was the main source of the information and the key words for Voice diagnosis studies were "(語聲)", "(聲診)", and (TCM). Conclusions : In Oriental Medicine, There are two ways to research about voices. One way is to research through philological consideration with subjectical and experimental diagnosis & studies as human bowel related in traditional studies. The other way is to research through Computerized Speech Lab(CSL), differential diagnosis for Sasang constitution and disease.

Background : In spite of the predominant of the theory of Pathogenesis, the method of Pathogenesis classification is depending on the doctor's clinical trials because od the lack of the objective test criteria. Methods and Results : This study is trying to improve the objectiveness of classification using a new statistical method, decision tree. Decision tree method -a classification technique in the statistical analysis- was used to analyze the result of pathogenesis questionnaire instead of using discriminant analysis. As a result, 10 among 38 pathogenesis questionnaire was selected as important questions and 12 terminal nodes was built to classify the pathogenesis. Conclusions : Using only 10 questions shown in the result of decision tree, we can classify and interpret the pathogenesis easily and effectively.

Background : Guibi-tang is one of the most common herbs in oriental medicine. Principally, this medicine heals illness from overstress. Therefore, it is frequently used in the ancient community. Because of insufficiency in data, objective judgements are difficult in remedial effects by Guibi-tang. In order to make objectivity diagnose data, this research is developed. Purpose : The aim of the research is to make questionnaire for the medicine and the objective is to sell to the public from the local clinic. Methods : The questionnaire which includes symptoms and signs for diagnose of Guibi-tang is studied by the Delphi method and average value. Results : By the Delphi method and average value, 22 Items of questionnaires are choosen for the research. Conclusions : Further research is necessary for modification of questionnaire by statistics and cerification by clinical trial. The statistics and verification by clinical trial is necessary with modification for further research.

Objectives: The aim of this study was to investigate correlation of the phlegm-retained fluid, namely Damum(痰飮) and dark circles under eyes. Methods: 2 males and 11 females aged 26-60 years were participated in this study. They were asked the intensity of 29 symptoms related with Damum(痰飮) including dark circle with the questionnaire published by the Journal of the Korea Institute of Oriental Medical Diagnostics. Three skin researchers including OMD graded the dark circles by inspection. We took the pictures around eyes by Facial Stage (Moritex, Japan) and analyzed the skin color by Image-Pro Plus (Media Cybernetics, USA). Results: There was statistically significant correlation between Damum(痰飮) and dark circles measured by self, inspectors and image analysis. Conclusions: In the Oriental Medicine, It is reported that the shadows under eyes are the sign of the retention of fluid, Damum(痰飮). In our study, that shadows, namely dark circles, has correlation with the symptoms of Damum(痰飮). Especially, the correlation between inspected grade and image analysis was very high. According to the above results, it is proved that dark circles under eyes are important diagnostic sign of Damum(痰飮).

Background: Yukmijiwhang-tang is one of the most common herbal formulas in Oriental Medicine. Yukmijiwhang-tang has been widely used as a herbal medicine to replenish Yin and tonify the kidneys for hundred years in Asian countries. Because of insufficiency in data, objective judgements about remedial effects have been difficult. In order to make objectivity diagnostic data, this research is developed. Purpose: The aim of the research is to make a pilot questionnaire for clinical use of Yukmijiwhang-tang. Methods: The questionnaire which includes symptoms and signs for Yukmijiwhang-tang is studied by the Delphi method. Results: By the Delphi method and score evaluation, 30 items of the initial copy of questionnaire are chosen for the research. Conclusions: By the Delphic survey among clinicians, a reference questionnaire for Yukmijiwhang-tang applications was suggested. Further research is necessary for modification of questionnaire by statistics and certification by clinical trial. research.

Background and purpose : Health is characterized by variability, and the loss of variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. Cold-Heat scores are quantified indices in Korean Medicine. The aim of this study is to analyze relations between 9 respiratory indices (including breath to breath variability) and HRV(heart rate variability). Method : Respiratory data were measured during a period of 15 minutes and transferred to text file. We calculated 9 respiratory parameters using MATLAB 7.1. Afterwards we did correlation analysis of the 9 respiratory indices and HRV. Results and conclusion : Respiratory variability showed significant correlation with HRV.

Background and purpose: Health is characterized by variability and a loss variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. The aim of this study is to analyze Correlation Analysis of 10 respiratory indices(include breath to breath variability) and K-POMS factors score. Method: Respiratory data were measured during 15 minutes and transferred to text file. We calculated 10 respiratory parameters in use of MATLAB7.1. After then do correlation analysis of 10 respiratory indices and K-POMS factors score. Result and conclusion: Respiratory variability is showed significant correlation with vigor factor. Respiratory rate is showed significant correlation with depression factor.

Background and purpose : Health is characterized by variability and a loss variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. Cold-Heat score are quantified indices in Korean Medicine. The aim of this study is to analyze relations between 9 respiratory indices (including breath to breath variability) and cold-heat score by questionnaire. Method : Respiratory data were measured during 15 minutes and transferred to text file. We calculated 9 respiratory parameters in use of MATLAB7.1. After then we did correlation analysis of 9 respiratory indices and cold-heat score Results and conclusion : EIratio is showed significant correlation with Cold score and weighted Heat score.

Background : There was seldom study about method that diagnose 8 Constitution beside method of pulse diagnosis in 8 Constitution Medicine. Objectives : This study is to make out 8 Constitution Medicine Diagnosis Expert System Development used CBR(Case based Reasoning). Methods : First, at case base construction process we constructed case base for CBR embodiment because gathering 925 cases all to patient who constitution is verified, and second, at study model establishment process superior expert system development by purpose CBR of reasoning process dividing fundamental type CBR that spend basis data value and expert type CBR that reflect weight in basis data value accordin I II III to advice expert opinion, and third, system embodiment process explained about way to give process and weight that diagnose constitution through Nearest Neighbor Method sampling process of CBR techniques, and fourth, at system estimation process we selected superior CBR model because comparing and estimate the diagnosis rate of expert system with fundamental type system (GECBR) model and expert type I II III CBR system (AVCBR, AACBR, AGCBR) model that reflect expert opinion in fundamental type system. GECBR and AGCBR chose on superior study model. Through such 4 study process, we developed 8 constitution diagnosis expert system lastly. Results : 1. When we select GECBR that is fundamental type by reasoning system, diagnosis rate 78.91% of 8 constitution diagnosis expert system is expected, and the constitution diagnosis rate Hepatonia 90.4%, Cholecystonia 63.0%, Pancreotonia 91.1%, Gastrotonia 0%, Pulmotonia 71.2%, Colonotonia 74.4%, Renotonia 37.5%, Vesicotonia 67.1% expect. 2. When we select AGCBR that is expert type III by reasoning system, diagnosis rate 77.51% of 8 constitution diagnosis expert system is expected, and the constitution diagnosis rate Hepatonia 93.4%, Cholecystonia 58.5%, Pancreotonia 91.1%, Gastrotonia 0%, Pulmotonia 73.1%, Colonotonia 64.4%, Renotonia 41.7%, Vesicotonia 72.2% expect. Conclusion : Based on this study, 8 constitution diagnosis expert system may give help to diagnose 8 constitution, and it is going to utilize as objective estimation tool of 8 constitution diagnosis, and further study for 8 Constitution Medicine Diagnosis Expert System Development used CBR(Case based Reasoning) is needed to supplement this study.