scholarly journals Recent Progress in Voice-Based Sasang Constitutional Medicine: Improving Stability of Diagnosis

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jun-Su Jang ◽  
Young-Su Kim ◽  
Boncho Ku ◽  
Jong Yeol Kim
Keyword(s):  
Gaussian Mixture ◽  
Voice Signal ◽  
Single Feature ◽  
Sasang Constitution ◽  
Diagnosis Accuracy ◽  
Good Repeatability ◽  
Diagnosis Model ◽  
Sasang Constitutional Medicine ◽  
Feature Values ◽  
Constitutional Medicine

Sasang constitutional medicine is a unique form of tailored medicine in traditional Korean medicine. Voice features have been regarded as an important cue to diagnose Sasang constitution types. Many studies tried to extract quantitative voice features and standardize diagnosis methods; however, they had flaws, such as unstable voice features which vary a lot for the same individual, limited data collected from only few sites, and low diagnosis accuracy. In this paper, we propose a stable diagnosis model that has a good repeatability for the same individual. None of the past studies evaluated the repeatability of their diagnosis models. Although many previous studies used voice features calculated by averaging feature values from all valid frames in monotonic utterance like vowels, we analyse every single feature value from each frame of a sentence voice signal. Gaussian mixture model is employed to deal with a lot of voice features from each frame. Total 15 Gaussian models are used to represent voice characteristics for each constitution. To evaluate repeatability of the proposed diagnosis model, we introduce a test dataset consisting of 10 individuals’ voice recordings with 50 recordings per each individual. Our result shows that the proposed method has better repeatability than the previous study which used averaged features from vowels and the sentence.

scholarly journals Quantitative Sasang Constitution Diagnosis Method for Distinguishing between Tae-eumin and Soeumin Types Based on Elasticity Measurements of the Skin of the Human Hand

2009 ◽  
Vol 6 (s1) ◽  
pp. 93-98 ◽  
Author(s):  
Han Wook Song ◽  
SungJun Lee ◽  
Yon Kyu Park ◽  
Sam Yong Woo
Keyword(s):  
Human Hand ◽  
Oriental Medicine ◽  
Compression Method ◽  
Repeatability Error ◽  
Sasang Constitution ◽  
Diagnosis Method ◽  
Sasang Constitutional Medicine ◽  
Constitutional Medicine ◽  
Measurement Repeatability ◽  
Elasticity Measurements

The usefulness of constitutional diagnoses based on skin measurements has been established in oriental medicine. However, it is very difficult to standardize traditional diagnosis methods. According to Sasang constitutional medicine, humans can be distinguished based on properties of the skin, including its texture, roughness, hardness and elasticity. The elasticity of the skin was previously used to distinguish between people with Tae-eumin (TE) and Soeumin (SE) constitutions. The present study designed a system that uses a compression method to measure the elasticity of hand skin and evaluated its measurement repeatability. The proposed system was used to compare the skin elasticity between SE and TE subjects, which produced a measurement repeatability error of <3%. The proposed system is suitable for use as a quantitative constitution diagnosis method for distinguishing between TE and SE subjects with an acceptable level of uncertainty.

scholarly journals Prevalence of Metabolic Syndrome according to Sasang Constitutional Medicine in Korean Subjects

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Kwang Hoon Song ◽  
Sung-Gon Yu ◽  
Jong Yeol Kim
Keyword(s):  
Metabolic Syndrome ◽  
Risk Factor ◽  
Multiple Logistic Regression Analysis ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Atherogenic Dyslipidemia ◽  
Comprehensive Knowledge ◽  
Sasang Constitution ◽  
Sasang Constitutional Medicine ◽  
Constitutional Medicine

Metabolic syndrome (MS) is a complex disorder defined by a cluster of abdominal obesity, atherogenic dyslipidemia, hyperglycemia, and hypertension; the condition is recognized as a risk factor for diabetes and cardiovascular disease. This study assessed the effects of the Sasang constitution group (SCG) on the risk of MS in Korean subjects. We have analyzed 1,617 outpatients of Korean oriental medicine hospitals who were classified into three SCGs, So-Yang, So-Eum, and Tae-Eum. Significant differences were noted in the prevalence of MS and the frequencies of all MS risk factors among the three SCGs. The odds ratios for MS as determined via multiple logistic regression analysis were 2.004 for So-Yang and 4.521 for Tae-Eum compared with So-Eum. These results indicate that SCG may function as a significant risk factor of MS; comprehensive knowledge of Sasang constitutional medicine may prove helpful in predicting susceptibility and developing preventive care techniques for MS.

scholarly journals Differences in Complexion between Cold- and Heat-Prescription Groups in Sasang Medicine

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Young Joo Park ◽  
Jun-Hyeong Do ◽  
Honggie Kim ◽  
Jong Yeol Kim
Keyword(s):  
Blood Pressure ◽  
Color Space ◽  
Traditional Korean Medicine ◽  
Medical Treatments ◽  
Sasang Constitution ◽  
Significant Difference ◽  
Human Constitution ◽  
Sasang Constitutional Medicine ◽  
Constitutional Medicine ◽  
Herbal Prescription

Sasang constitutional medicine (SCM) is a type of traditional Korean medicine (TKM) that classifies the human constitution into four types. The appearance of the complexion is one of the diagnostic factors of SCM but is rarely used in a quantitative and objective manner for diagnosis. In this study, an analysis using actual clinical data was conducted to assess the use of the complexion as a diagnostic element. A total of 528 Sasang medicine prescriptions from Korea Constitutional Multicenter Bank (KCMB) were classified into either a Cold-prescription group or a Heat-prescription group, and the complexion differences of the patients were analyzed using the L⁎a⁎b⁎ color space. After adjusting for age, BMI, and systolic blood pressure, significant differences were observed among the Cold- and Heat-prescription groups within each Sasang constitution. However, when the Sasang constitution was ignored, no significant difference was observed for either sex. This study quantitatively analyzed the complexion of patients, which is used as a diagnostic element in clinical practice. It is hoped that the results will contribute to objective medical treatments in the future, such as determining an appropriate herbal prescription based on the patient’s complexion.

scholarly journals Current Researches on the Methods of Diagnosing Sasang Constitution: An Overview

2009 ◽  
Vol 6 (s1) ◽  
pp. 43-49 ◽  
Author(s):  
Si-Woo Lee ◽  
Eun-Su Jang ◽  
Jeon Lee ◽  
Jong Yeol Kim
Keyword(s):  
Future Research ◽  
Doctor Who ◽  
External Appearance ◽  
Sasang Constitution ◽  
Wide Range ◽  
Domestic Journal ◽  
Sasang Constitutional Medicine ◽  
Constitutional Medicine

Sasang constitution diagnosis has traditionally been conducted by a Sasang constitutional medicine (SCM) doctor who examines the external appearance, temperament and various symptoms of an individual and then collectively analyzes this information to determine their own constitutions. However, because this process is subjective and not quantitative, many researchers have been attempting to develop objective and reasonable methods of determining constitutions. In Korea, even though a wide range of research regarding SCM has been conducted, most of the work has not been revealed internationally. So in this review, the authors have searched theJournal of Sasang Constitutional Medicine, as well as other Korean domestic journal databases and Pubmed for research regarding modernized constitution diagnosis methods so to provide the understanding of current research state and outlook for future research.

Optimal multi-kernel local fisher discriminant analysis for feature dimensionality reduction and fault diagnosis

2021 ◽  
pp. 1748006X2110093
Author(s):  
Qing Zhang ◽  
Heng Li ◽  
Xiaolong Zhang ◽  
Haifeng Wang
Keyword(s):  
Fault Diagnosis ◽  
Discriminant Analysis ◽  
Feature Space ◽  
High Dimensional ◽  
Fisher Discriminant Analysis ◽  
Vibration Signals ◽  
Fisher Discriminant ◽  
Local Fisher Discriminant Analysis ◽  
Diagnosis Accuracy ◽  
Diagnosis Model

To achieve a more desirable fault diagnosis accuracy by applying multi-domain features of vibration signals, it is significative and challenging to refine the most representative and intrinsic feature components from the original high dimensional feature space. A novel dimensionality reduction method for fault diagnosis is proposed based on local Fisher discriminant analysis (LFDA) which takes both label information and local geometric structure of the high dimensional features into consideration. Multi-kernel trick is introduced into the LFDA to improve its performance in dealing with the nonlinearity of mapping high dimensional feature space into a lower one. To obtain an optimal diagnosis accuracy by the reduced features of low dimensionality, binary particle swarm optimization (BPSO) algorithm is utilized to search for the most appropriate parameters of kernels and K-nearest neighbor (kNN) recognition model. Samples with labels are used to train the optimal multi-kernel LFDA and kNN (OMKLFDA-kNN) fault diagnosis model to obtain the optimal transformation matrix. Consequently, the trained fault diagnosis model implements the recognition of machinery health condition with the most representative feature space of vibration signals. A bearing fault diagnosis experiment is conducted to verify the effectiveness of proposed diagnostic approach. Performance comparison with some other methods are investigated, and the improvement for fault diagnosis of the proposed method are confirmed in different aspects.

Sign in / Sign up

Export Citation Format

Share Document