• Journal of Sasang Constitutional Medicine
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• v.10 no.1
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• pp.25-40
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• 1998

Sasang Constitutional Medicine is the constition medicine and the basis which constitution reveals is the distinction of the nature and emotion. Therefore the theory of the nature and emotion is the foundation which Sasang Constitution Medicine is coming into being. The author studied the progress that the distinction of the nature and emotion was formed and analized the phenomenon presented by the distinction of it as the principle of the movement of Yin and Yang. The results are following; 1. The beginning of the operation of the nature begins from some one part(cho ; 焦) among four part. That consists of the first factor of constitution-revelation. In accordance with the distinction of the nature, the second factor, that is the distinction of the emotion is determined and the united distinction of the nature and emotion presents the Sasang constitution. 2. The operation of the nature and emotion is the movement of Qi by the property of Yin and Yang and that is the phenomenon presented by the logical and scientifical law. 3. The ontology of Lee Je-ma is Qi-monism. 4. Four emotion(Sorrow, Anger, Joy, Presure) are not partional concept of the emotion but total concept which include all of it.

• Journal of Sasang Constitutional Medicine
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• v.22 no.1
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• pp.17-25
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• 2010

1. Objectives: Voice diagnosis has been used to classify individuals into the Sasang constitution in SCM(Sasang Constitution Medicine) and to recognize his/her health condition in TKM(Traditional Korean Medicine). In this paper, we purposed a new speech classification algorithm for Sasang constitution. 2. Methods: This algorithm is based on the SVM(Support Vector Machine) technique, which is a classification method to classify two distinct groups by finding voluntary nonlinear boundary in vector space. It showed high performance in classification with a few numbers of trained data set. We designed for this algorithm using 3 SVM classifiers to classify into 4 groups, which are composed of 3 constitutional groups and additional indecision group. 3. Results: For the optimal performance, we found that 32.2% of the voice data were classified into three constitutional groups and 79.8% out of them were grouped correctly. 4. Conclusions: This new classification method including indecision group appears efficient compared to the standard classification algorithm which classifies only into 3 constitutional groups. We find that more thorough investigation on the voice features is required to improve the classification efficiency into Sasang constitution.

• Journal of Sasang Constitutional Medicine
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• v.32 no.2
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• pp.10-21
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• 2020

Objectives Genome-wide association studies(GWAS) is a useful method to identify genetic associations for various phenotypes. The purpose of this study was to develop predictive models for Sasang constitution types using genetic factors. Methods The genotypes of the 1,999 subjects was performed using Axiom Precision Medicine Research Array (PMRA) by Life Technologies. All participants were prescribed Sasang Constitution-specific herbal remedies for the treatment, and showed improvement of original symptoms as confirmed by Korean medicine doctor. The genotypes were imputed by using the IMPUTE program. Association analysis was conducted using a logistic regression model to discover Single Nucleotide Polymorphism (SNP), adjusting for age, sex, and BMI. Results & Conclusions We developed models to predict Korean medicine constitution types using identified genectic factors and sex, age, BMI using Random Forest (RF), Support Vector Machine (SVM), and Neural Network (NN). Each maximum Area Under the Curve (AUC) of Teaeum, Soeum, Soyang is 0.894, 0.868, 0.767, respectively. Each AUC of the models increased by 6~17% more than that of models except for genetic factors. By developing the predictive models, we confirmed usefulness of genetic factors related with types. It demonstrates a mechanism for more accurate prediction through genetic factors related with type.

• Journal of Sasang Constitutional Medicine
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• v.13 no.1
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• pp.45-50
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• 2001

Purpose : The purpose of this study is to get higher discriminability of the QSCCII on Taeumin. Methods : I analysed each item response rates on QSCCII of those who had been tested and diagnosed as Taeumin, Soeumin, Soyangin respectively by frequency analysis and reviewed Taeum scale of the current QSCCII by reliabiliry analysis and discriminant analysis. Results : 1. From the 758 results of QSCCII of those who were examined by professors, I made a revised Taeum scale which is consists of 17 items including 14 existing Taeum scale items and 3 new items from the other scales. 2. Reliability of revised Taeum scale is 0.5983, higher than that of existing Taeum scale, 0.5922. This means that revised Taeum scale reflects Taeumin's character more reliably than the existing one. 3. Hit-ratio of revised QSCCII on Taeumin is 60.3%, 2% lower than that of existing QSCCII.

• Journal of Sasang Constitutional Medicine
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• v.27 no.3
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• pp.318-325
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• 2015

Objectives This study was to investigate the Sasang Constitutional classification in storke inpatients by using QSCC II and to evaluate the relevance of the results and Donguisusebowon contents. Methods QSCC II was conducted to 73 Stroke patients who were admitted from April 2014 to August 2014 in Dongseo oriental hospital. And the results were analyzed by contents of Donguisusebowon. Results The number of Soyangin and Taeumin was the most common and Soeumin was the lowest. There was no Taeyangin. The number of Soyangin and Taeumin was the most common in cerebral infarction patients, and the number of Soyangin was the most common in intracerebral hemorrhage patients. The patients who had both cerebral infarction and intracerebral hemorrhage were all Taeumin. Conclusions The incidence of stroke was higher in Soyangin and Taeumin. This results were relevant with the Sasang Constitutional Temperament of Donguisusebowon.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.1
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• pp.196-204
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• 2008

In this paper, we propose an efficient method to classify human facial impression using frontal face image. The features that represent the shape of eye, jaw and face are used. The proposed method employs PCA, LDA and SVM in series. PCA is used to project the feature space to a low dimensional subspace. LDA produces well separated classes in a low dimensional subspace even under severe variation. This results in good discriminating power for classification. SVM is used to classify the data. Human face has been classified for 8 facial impressions. The experiments have been performed for many face images, and show encouraging result.

• Journal of Sasang Constitutional Medicine
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• v.14 no.2
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• pp.35-43
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• 2002

This study was performed to examine a clinical application of the QSCC II (Questionnaire for the Sasang Constitution Classification II) In this study, the subjects were 218 patients whose constitutions were differentiated at the Wonkwang Kwangju Oriental medical hospital. The results are as follows: 1. QSCC II were given to 218 patients after they were examined by the specialists in the Sasang constitutional medicine and received herbal formulas specific to their constitution. The constitutional analysis made by the specialists were then compared to the results of the questionnaire. The result showed only 51% agreement. 2. We made a frequency analysis of 121 questions and found that 85 questions had low statistical significance (P>0.2). 3. As a result, we have found that there is a limitation in differentiating the constitution by the questionnaire. Thus, in order to raise the statistical significance of the constitutional analysis, we hope that more suitable questionnaire will be developed for the future research.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.196-198
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• 2009

한방의학의 기초 진단요소로 활용할 수 있도록 인체 체질에 따른 전기전도 특성을 분류하기 위해, 생체신호 특성을 정량적으로 계측할 수 있는 방법에 대한 선행 기초연구를 수행하였다. 특정 "경혈"에서의 생체전기전도 특성을 통해 한의학적 진단에 필요한 생체신호의 종류와 병에 따른 신호를 객관적이고 정량적, 가시적으로 나타내기 위한 것이 본 연구의 목적이다. 전기전도성 측정은 양도락[7]의 계측원리를 사용하였으며, 기존 양도락 시스템의 계측 시 발생되는 제반 문제점을 보완하여 의학적 생체정보의 정량적, 가시적 획득을 위한 인체 전기전도 특성 계측 시스템을 구현하였다. 구현된 시스템을 통한 기초 실험 연구 결과에 대한 분석으로 한의학에서 필요로 하는 진단요소 획득 가능성을 알아보았다.

• Journal of Sasang Constitutional Medicine
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• v.9 no.2
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• pp.163-173
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• 1997

Amp-FLP is a one of the most frequently used human genetic analysis methods which adopts STR and VNTR typings. In this study, 100 genomic DNA samples of Taeum, Soyang and Soum constitution group were analysed by Amp-FLP method. The allele distribution of three STR loci(TH01, vWA and CSF1PO) and one VNTR locus(MCT118) of each different constitution group were investigated and the allele distribution was statistically evaluated. It was found out that the allele distribution of MCT118 and THO1 loci was not significantly different among different constitutions. However, the allele distribution of vWA showed p-value of 0.02056(Soyang group) and $2.41{\times}10^{-10}$(Soum group) which is much lower than significant level of p-value 0.05. Also, p-value of CSF1PO in Soum group was found out to be $4.65{\times}10^{-17}$. Therefore, it is expected that vWA and CSF1PO loci can be used as an indicator for gnenetic difference of different constiturion if the same result is obtained with sufficient number of samples.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.9-23
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• 2024

In this study, we propose a method to improve the classification accuracy of body mass index (BMI) estimation techniques based on three-dimensional gait data. In previous studies on BMI estimation techniques, the classification accuracy was only about 60%. In this study, we identify the reasons for the low BMI classification accuracy. According to our analysis, the reason is the use of the undersampling technique to address the class imbalance problem in the gait dataset. We propose applying oversampling instead of undersampling to solve the class imbalance issue. We also demonstrate the usefulness of anthropometric and spatiotemporal features in gait data-based BMI estimation techniques. Previous studies evaluated the usefulness of anthropometric and spatiotemporal features in the presence of undersampling techniques and reported that their combined use leads to lower BMI estimation performance than when using either feature alone. However, our results show that using both features together and applying an oversampling technique achieves state-of-the-art performance with 92.92% accuracy in the BMI estimation problem.