음식물 섭취로 인한 혀 색상 변화가 설진에 미치는 영향
Effect of Tongue Color Change Due to Food Ingestion on Tongue Diagnosis
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초록
The purpose of this pilot study was to examine the effect of tongue color change due to food ingestion on tongue diagnosis by both Korean Medicine doctors and digital tongue diagnosis system. In order to obtain objective and quantitative data, we used digital camera to collect the data. Prior to our investigation, we conducted a brief survey of 26 Korean Medicine doctors and found out that tongue diagnosis is frequently used and food-stained tongue could be commonly observed in clinics. Depending on their color, viscosity, and amount of intake, various foods caused stains with different colors and thicknesses. Also, duration and amount of food stain on tongue were different from person to person. Since coffee-stained tongue was the most frequently observed one in clinics according to the survey, we used coffee to evaluate the effect of food-stained tongue on tongue diagnosis. Korean Medicine doctors tended to interpret coffee-stained tongue as having yellow tongue coat but their judgement on tongue body color did not differ in spite of the coffee stains. Meanwhile, tongue diagnosis system algorithm tended to judge coffee-stained tongue as having normal but yellowish tongue coat and reddish tongue body. Altogether, food color on tongue can influence tongue diagnosis outcomes. Further research is needed in order to develop more efficient tongue diagnosis algorithm and digital medical service system.
Abstract
The purpose of this pilot study was to examine the effect of tongue color change due to food ingestion on tongue diagnosis by both Korean Medicine doctors and digital tongue diagnosis system. In order to obtain objective and quantitative data, we used digital camera to collect the data. Prior to our investigation, we conducted a brief survey of 26 Korean Medicine doctors and found out that tongue diagnosis is frequently used and food-stained tongue could be commonly observed in clinics. Depending on their color, viscosity, and amount of intake, various foods caused stains with different colors and thicknesses. Also, duration and amount of food stain on tongue were different from person to person. Since coffee-stained tongue was the most frequently observed one in clinics according to the survey, we used coffee to evaluate the effect of food-stained tongue on tongue diagnosis. Korean Medicine doctors tended to interpret coffee-stained tongue as having yellow tongue coat but their judgement on tongue body color did not differ in spite of the coffee stains. Meanwhile, tongue diagnosis system algorithm tended to judge coffee-stained tongue as having normal but yellowish tongue coat and reddish tongue body. Altogether, food color on tongue can influence tongue diagnosis outcomes. Further research is needed in order to develop more efficient tongue diagnosis algorithm and digital medical service system.
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