• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.438-440
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• 1998

본 논문에서는 복부의 전산화 단층촬영 영상으로부터 체지방의 양을 측정하기 위한 영상처리에서 사용되는 문턱치의 자동 설정 방법을 제안한다. 체지방의 정량적 측정은 비만과 관련된 진단 및 치료에 있어서 중요하다. 기존의 비만도 측정은 체중과 신장의 비, 허리와 둔부 둘레의 비, 손으로 잡히는 복부의 두께 등 단순한 측정방법을 사용하여 실제 지방의 양을 제대로 반영하지 못하는 단점이 있다. 이러한 단점을 보완하기 위하여 최근에 전산화 단층촬영 영상으로부터 영상처리를 통하여 직접 지방의 양을 측정하려는 시도가 있다. 전산화 단층촬영 영상을 이용하면 지방의 양을 정량적으로 측정할 수 있고 피하지방과 복강내지방 등 특정부위의 체지방의 양을 측정할 수 있다. 전산화 단층촬영은 밀도에 비례하는 하운스필드 단위 값으로 구성된 영상을 제공한다. 일반적으로 체지방은 하운스필드 단위 값이 -150에서 -50사이인 것으로 알려져 있다. 그러나, 체지방의 문턱치는 사람에 따라 다르고, 또한 같은 사람에 대해서도 촬영 부위에 따라 다르다. 본 논문에서는 이러한 차이를 히스토그램을 통하여 보이고 히스토그램의 가우시안 함수 근사로부터 체지방의 문턱치를 자동으로 설정하는 방법을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.526-528
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• 2002

본 논문은 CT 영상을 이용하여 체지방과 근육의 체적 및 비율을 분석하는 알고리즘 개발에 대하여 기술한다. CT 영상에는 체지방, 근육, 공기, 뼈등의 구성성분들이 서로 다른 명암값을 가지고 분포한다. 이 논문에서는 히스토그램을 통하여 각 구성성분에 대한 명암값을 찾아내었다. 찾아낸 명암값에 따라 체지방과 근육 그리고 뼈, 공기에 각각 색을 입혀 시각적으로 표현하여 체지방과 근육의 분포와 비율을 볼 수 있는 환경을 만들고 수치적으로 체적 및 비율의 결과 값을 출력하는 알고리즘을 개발하였다. 또한 단계적인 체지방 측정 프로그램을 위해 DB 환경을 구축하여 모든 자료를 저장하고 불러올 수 있는 환경을 만들어 체지방 측정 알고리즘을 완성하였다. 알고리즘은 돼지 실험에서 측정된 체지방과 비교하여 정확성을 검증한 결과 약 92.86%의 정확도를 보였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.351-352
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• 2013

본 연구에서는 근적외선대역의 광원을 이용하여 생체측정 시 에러로 작용하는 피하지방층의 두께를 추정하는 방법의 가능성에 대해 검토한다. 현재까지 피하지방층의 두께측정을 위해서는 초음파장비나 CT, Dexa 장비 등 고가의 장비로 측정을 하는방법 이외는 특별한 수단이 없는 것이 현실이다. 정확한 측정을 위해 피하지방층의 두께를 제거하는 것이 일반적인 연구의 목적이나 본 연구에서는 이들 피하지방 두께 측정을 최근 주목받고 있는 건강에 적용하고자 한다. 본 연구의 피하지방층의 두께추정방법의 가능성이 보여진다면 체지방측정에 있어 몸 전체의 체지방을 추측하는 방식인 BIA방식의 체지방측정방법과 비교하여 특정부위에 대한 피하지방층 측정도 가능할 것이라는 기대도 할 수 있다.

• Clinical and Experimental Pediatrics
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• v.48 no.8
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• pp.857-864
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• 2005

Purpose : The objectives of this study was to evaluate the correlations between the indices of insulin sensitivity using fasting glucose and insulin level, and the body fat mass measured by bioelectrical impedance analysis(BIA) and dual energy X-ray absorptiometry(DEXA), and to determine the clinical usefulness of insulin sensitivity indices when obese children were followed up. Methods : In this study, 28 simple obese children and adolescents were included. Anthropometric data including body weight, height, obesity degree(OD), body mass index(BMI), and waist-to-hip ratio were collected and then body fat mass was measured by using BIA and DEXA. For metabolic data, 12 hour fasting serum glucose, insulin and lipid profiles were measured and indices for insulin sensitivity(G/I ratio, $log_{insulin}$, HOMA-IR, $log_{HOMA-IR}$, QUICKI) were calculated. Results : BMI had a higher correlation with insulin sensitivity indices than OD(G/I ratio, -0.463 vs -0.209; $log_{insulin}$, 0.417 vs 0.196; HOMA-IR, 0.301 vs 0.238; $log_{HOMA-IR}$, 0.403 vs 0.198; QUICKI, -0.451 vs -0.224). But OD had a higher correlation with body fat mass measured by BIA and DEXA than BMI(BIA, 0.612 vs 0.316; DEXA, 0.667 vs 0.512). The G/I ratio was correlated with body fat mass in BIA(r=-0.420, P<0.05) and DEXA(r=-0.512, P<0.01), percentage of body fat(percentage of fat) in BIA(r=-0.366, P<0.05) and DEXA(r=-0.449, P<0.01). HOMA-IR was only correlated with body fat mass in DEXA(r=0.341, P<0.05). Conclusion : This study revealed that G/I ratios had a statistically significant correlation with anthropometric obesity indices(OD and BMI) and also had a correlation with both body fat mass and percentage of fat. These results suggest that G/I ratios could be used as useful index when obese children and adolescence are followed up.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.1 no.1
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• pp.107-114
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• 1998

Purpose: The purpose of our study is to provide useful information for me-asurement methods of childhood obesity and to provide clinical significance of bioelectrical impedance analysis. Methods: We measured height, weight, waist to hip ratio, skinfold thickness and bioelectrical impedance from 206 elementary students in Kwangju from May to July 1997. Results: In males; 1) There were statistically high correlations between tri-ceps skinfold thickness and body mass index (BMI), percentage of body fat (%BF), weight, Rohler index (RI), total fat weight (TFW), waist to hip (W/H) ratio, height, lean body mass (LBM) (all, p<0.001). 2) There were statistically high correlations between subscapular skinfold thickness and BMI, RI, weig-ht, %BF, TBW (all, p<0.001). 3) There were statistically high correlations between %BF and BMI, triceps skinfold thickness, RI, TFW, subscapular skinfold thickness, weight (all, p<0.001). In females; 4) There were statistically high correlations between triceps skinfold thickness and BMI, weight, LBM, height, %BF (all, p<0.001). 5) There were statistically significant correlations between subscapular skinfold thickness and BMI, weight, LBM, RI, height. 6) There were statistically high correlations between percentage of body fat and BMI, RI, triceps skinfold thickness. The percentage of body fat according to the bioelectrical impedance analysis highly correlated with that calculated by skinfold thickness in males (r＝0.57, p<0.01) and in females (r＝0.30, p<0.01). Conclusion: The results of our study suggests that bioelectrical impedance analysis is a useful method of estimating body fat in the childhood obesity.

• Journal of Industrial Technology
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• v.26 no.B
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• pp.243-248
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• 2006

The purpose of this study is to design a body-fat measurable electronic scale which can measure body impedance and weight. The hardware configuration of this system for the body-fat measurement includes a sinewave constant current generator, a analog switch circuit and a microprocessor with peripheral interface as well as electronic scale circuit. And the dedicated software is also designed for calculating body fat and body composition analysis from the result of the measurement.

• Clinical and Experimental Pediatrics
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• v.46 no.8
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• pp.751-757
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• 2003

Purpose : Obesity is a significant health problem with medical and psychological consequences for children and adolescents. The purpose of this study was to assess the correlation between body fat percent using bioelectrical impedance(BI) and other variable methods. Methods : We measured height, weight, body mass index(BMI) and body fat percent by skinfold thickness(ST) and BI in 1,035(496 male; 539 female) children from seven to 18 years of age. The correlation coefficients between BI and each of the other different methods were obtained. The sensitivity and specificity to predict obesity by these several methods were studied. Results : Fat percent estimated by BI analysis and BMI showed a strong correlation(r=0.749). Fat percent estimated by BI analysis and ST showed a very strong correlation(r=0.835). At the 95th percentile cut-off point for BI, ST showed a sensitivity of 57.7%, and a specificity of 97.6% for estimating body fat. At the 95th percentile cut-off point for BI, BMI showed a sensitivity of 84.9%, and a specificity of 99.3% for estimating body fat. Conclusion : The fat percent estimated by BI analysis correlated strongly with ST or BMI. BI analysis is an objective and accurate method for estimating body fat in childhood obesity.

• The Korean Journal of Nuclear Medicine Technology
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• v.15 no.1
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• pp.3-9
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• 2011

Purpose: Generally dual energy X-ray absorptiometry has been used for the purpose of evaluation of osteoporosis and treatment. Recently the interest of obesity came to be high and body percent fat test is increasing. Existing measure of body fat have to scan the whole body can be evaluated, but only lumbar spine and hip measurements was assumed to be whole body fat as well as improving the software. It tries to check whether the part measured value not being whole body measurement has the validity or not compared with the value calculated with the method that it is different, it forgives through a correlation with a (BIA) and (BMI). Materials and Methods: In 2010, the body percent fat was measured among the examinee coming to the Asan Medical Center public health care center from March till August against 90 females more than 40 years old through (DXA) and BIA. BMI utilized the value which wrote an hight and weight measured through the body measuring instrument in the examinee information and is automatically calculated. In addition, it classified as the low weight ($13-18.5kg/m^2$), normal ($18.5-25kg/m^2$), and corpulence ($25-30kg/m^2$) based on BMI and so that it could check whether there was the difference according to the weight or not BMI and BIA and correlation between DXA were analyzed in each group. The statistical program for the analysis used SPSS 12.0. Results: The comparison of DXA at 3 which it divides into the low weight and normal and corpulence groups and BIA did not show the difference noted statistically in all groups and the between group comparison was exposed to do not have a meaning. The body percent fat measured by the correlation analysis result DXA at the state that it doesn't divide into the group showed the high correlation (r=0.908, p0.01) noted statistically compared with BMI and showed the high correlation noted statistically in a comparison with BIA (r=0.927, p0.01). Conclusion: It confirmed that the whole body percent fat presumed from the part bone density measurement showed the excel correlation compared with BIA and BMI and information is high. There is still no clear standard about the presumed whole body percent fat and it is difficult to evaluate the fat evaluation by the bone mineral density measurement. However, it is determined that the information offering which is more objective through the comparative study with the body percent fat which is very efficient and in that it can obtain till the information about a fat as well as diagnosis of the osteoporosis through the bone density checkup is measured by the afterward telegraph bone density checkup and is clinically useful is possible.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1564-1566
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• 2010

본 논문에서는 유헬스 시스템에 가장 기본이 되는 생체정보 측정에 대하여 하나의 휴대용 인터페이스만을 가지고 다양한 생체정보 측정기와 연계하여 다양한 생체정보를 취득할 수 있도록 하는 이식성 있는 임베디드 미들웨어로써 특히 체지방측정을 위한 체지방 센서 노드(BSN)의 설계 및 구현에 관한 것이다. BSN은 U-health 서비스를 제공하기 위해 측정기 자동인식, 데이터 취득, 위험요소 표시 및 데이터 수집장치(DAS)와의 통신을 담당하는 기능을 갖는다.

• Proceedings of the Korean Nutrition Society Conference
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• 2004.05a
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• pp.128-128
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• 2004