• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.2159-2160
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• 2006

본 논문은 단일주파수의 교류전류를 사용하고 8개의 접촉전극을 이용한 4 전극법방식으로 전신의 BIA (Bioelectrical Impedance Analysis)측정을 최소한의 경제적인 회로를 이용하여 구현한 체지방측정기의 개발에 관한 것이다.

• Clinical and Experimental Reproductive Medicine
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• v.41 no.2
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• pp.75-79
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• 2014

Objective: To study the effect of body composition on reproduction in women with unexplained infertility treated with a controlled ovarian hyperstimulation and intrauterine insemination programme. Methods: This prospective observational study was conducted on 308 unexplained infertile women who were scheduled for a controlled ovarian hyperstimulation and intrauterine insemination programme and were grouped as pregnant and non-pregnant. Anthropometric measurements were performed using TANITA-420MA before the treatment cycle. Body composition was determined using a bioelectrical impedance analysis system. Results: Body fat mass was significantly lower in pregnant women than in non-pregnant women ($15.61{\pm}3.65$ vs. $18.78{\pm}5.97$, respectively) (p=0.01). In a multiple regression analysis, body fat mass proved to have a stronger association with fecundity than the percentage of body fat, body mass index, or the waist/hip ratio (standardized regression coefficient${\geq}0.277$, t-value ${\geq}2.537$; p<0.05). The cut-off value of fat mass, which was evaluated using the receiver operating characteristics curve, was 16.65 with a sensitivity of 61.8% and a specificity of 70.2%. Below this cut-off value, the odds of the pregnancy occurrence was found to be 2.5 times more likely. Conclusion: Body fat mass can be predictive for pregnancy in patients with unexplained infertility scheduled for a controlled ovarian hyperstimulation and intrauterine insemination programme.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.3 s.357
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• pp.26-34
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• 2007

This Paper describes a chip design technique for body composition analyzer based on the BIA (Bioelectrical Impedance Analysis) method. All the functions of signal forcing circuits to the body, signal detecting circuits from the body, Micom, SRAM and EEPROMS are integrated in one chip. Especially, multi-frequency detecting method can be applied with selective band pass filter (BPF), which is designed in weak inversion region for low power consumption. In addition new full wave rectifier (FWR) is also proposed with differential difference amplifier (DDA) for high performance (small die area low power consumption, rail-to-rail output swing). The prototype chip is implemented with 0.35um CMOS technology and shows the power dissipation of 6 mW at the supply voltage of 3.3V. The die area of prototype chip is $5mm\times5mm$.

• Journal of Nutrition and Health
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• v.31 no.6
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• pp.1057-1065
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• 1998

Anthropometric and body compositional changes and the outcomes of the pregnancies of 90 healthy Korean women were investigated in a longitudinal study. Their weight increased from 51.3$\pm$5.9kg to 65.1$\pm$7.8kg during their pregnancies. The total weight gain was 13.8$\pm$4.5kg, and therefore, weekly weight gain was 340$\pm$110g during the entire period of the pregnancy. The weight gain was composed of approximately 50-60% fat mass and 40-50% fat-free mass. Skinfold thicknesses, both of triceps and subscapular, increased during the pregnancies. The fat mass calculated from skinfold thickness and that measured with bioelectrical impedance analysis went on increasing during the pregnancies. Although there was a considerable difference with respect to the fat mass observed using the three methods, fat mass gain was 5.0-6.1kg and fat-free mass gain was 4.0-5.3kg from the first trimester to the third trimester of pregnancies. There were significant correlations between maternal anthropometric parameters and indices of pregnancy outcomes. Especially, the infant's birth weight was associated with maternal pre-pregnancy weight and weight gains during the pregnancies. The infant's birth length was related to the maternal weight observed at term(p<0.05) and weight gain during the entire pregnancies (p<0.05) . Neither increase of fat mass nor fat-free mass affected the outcomes of pregnancy. These results show that maternal weight gain during pregnancy is led by increments of approximately above 50% fat mass. The fat mass increase seems to be larger in central areas than in subcutaneous areas. Maternal weight gain during pregnancy, especially during late pregnancy, is a factor affecting the birth weight and length of infant. On the basis of the body compositional changes, it can be predicted that the additional energy requirement for pregnancy in Korean women is more than 200-230 MJ (64,500-76,250kca1). (Korean J Nutrition 31(6) : 1057-1065, 1998)

• Journal of Korean Medicine for Obesity Research
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• v.15 no.1
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• pp.33-37
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• 2015

Objectives: The purpose of this study is to report the effectiveness of Korean medicine treatment on 254 patients visited obesity clinic. Methods: Two hundred fifty-four patients, who had visited obesity clinic from May 2013 to November 2014, were analyzed by bioelectrical impedance analysis. We analyzed changes of weight, skeletal muscle mass, fat mass, body mass index (BMI) and body fat percentage after treatment, also investigated differences of weight and fat mass loss according to age, BMI and body fat percentage. Results and Conclusions: Male and female percent of the study group was 3.5% and 96.5%. All patients were constituted with 50.0% of 20~29-year-old group, 34.1% of 30~39-year-old and 15.9% of 40 and more year-old. In BMI, $21kg/m^2$, $21.0{\sim}22.9kg/m^2$, $23.0{\sim}29.9kg/m^2$, above $30kg/m^2$ were 20.5%, 30.3%, 42.1%, 7.1%, respectively. In Body fat percentage, under 25%, 25.0%~29.9%, 30.0%~34.9%, above 35% were 11.4%, 23.2%, 30.7%, 34.6%, respectively. 96.1% of patients were showed weight loss compared with baseline, the decrease of body weight was $2.96{\pm}1.86$ kg, that of BMI was $1.13{\pm}0.70kg/m^2$ and that of body fat percentage was $2.43%{\pm}2.06%$ after 1 month treatment. We observed a decline of weight and fat mass with higher BMI and body fat percentage at the baseline.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5403-5408
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• 2012

In this paper, we introduce the multiple frequency bio-electrical impedance analysis method for body composition analysis. And then we implement the multiple frequency bio-electrical impedance analysis system. Overall system consists of: multiple frequency alternating current signal generator contained alternating current signal, phase signal detector, voltage signal detector, micro controller, in-out device(key-pad LCD), conductivity electrodes, system power. We explain the architecture of the system and required theory to implement the system. In order to investigate the clinical significance of the body composition data, compare to the data measured by the expert body composition analyzer which provide high reproduction and precision. Finally, experimental results which are the correlation between the measured data show the very high reproduction performance of the body composition analysis in the proposed system.

• Clinical and Experimental Pediatrics
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• v.48 no.10
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• pp.1082-1089
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• 2005

Purpose : Abdominal obesity is encountered as a risk factor for cardiovascular diseases. However, the anthropometric cut-off value to estimate the cardiovascular risk, has not been suggested. This study was designed to find the relationship between the abdominal fat and various parameters of obesity to find the cardiovascular risk factors related to abdominal obesity and to establish practical methods to measure them. Methods : Twenty seven obese Korean adolescents of moderate to severe degree and 22 healthy adolescents were enrolled. The body mass index(BMI), arm circumference and skinfold thickness were measured. Furthermore, blood lipid, sugar, insulin and four different cytokines' levels were checked and the distribution of body composition was measured by bioelectrical impedance analysis. The subcutaneous and intra-abdominal fat thickness by abdominal ultrasonography(US) and the total and intra-abdominal fat area by abdominal computerized tomography(CT) were measured in the obese group. Results : The most accurate method to measure abdominal fat in children is abdominal CT and the fat mass measured by bioelectrical impedance was strongly correlated with it(r=0.954). It was also correlated with arm circumference, fat thickness measured by abdominal US, BMI, aspartate aminotransferase(AST), alanine aminotransferase(ALT) and triglyceride level. Conclusion : Abdominal CT is the most accurate method to measure intra-abdominal fat, and it can be replaced by abdominal US for cost effectiveness. The screening methods that can be used at school or in outpatient basis include bioelectrical impedance, waist/hip ratio, and arm circumference. The cardiovascular risk factors include leptin, triglyceride and insulin level.

• Clinical Pain
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• v.19 no.1
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• pp.23-27
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• 2020

Our objective is to evaluate the applicability of segmental phase angle (PhA) via bioelectrical impedance analysis (BIA) for post-stroke complex regional pain syndrome (CRPS). Due to its noninvasiveness and convenience, various studies have used BIA in clinical conditions. We measured segmental PhA in 4 patients at the time of CRPS diagnosis and repeated 4 weeks after 2 weeks of steroid pulse therapy. In 3 cases, the affected-to-unaffected ratio of the upper limb PhA decreased at the time of diagnosis. In 2 cases with improvement of more than 5 points in the CRPS severity score (CSS), increased ratios were observed. In other 2 cases with improvement of less than 4 points in the CSS, no remarkable changes in the ratios were found. We suggest that the segmental PhA can be helpful in assessment of post-stroke CRPS and its recovery.

• Journal of Korean Medicine Rehabilitation
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• v.18 no.4
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• pp.147-159
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• 2008

Objectives : In order to investigate the relation of body composition analysis and isokinetic trunk muscle strength for the screening test of low back pain. Methods : This study was carried out with the data from comprehensive medical testing. 75 subject aged 20-59 performed the segmental bioelectrical impedance analysis, isokinetic trunk muscle strength test and questionnaire. Then we analyzed the relationship of data. Results : Low back pain(LBP) prevalence in high obesity index(Body mass index(BMI), Percentage of Body Fat(PBF), Waist Hip Ratio(WHR)) group was higher than LBP prevalence in normal obesity index group(p<0.001). In LBP group, Extension Peak Torque(Ext.PT), Extension Peak Torque per Body Weight(Ext.PT/BW) were significantly lower than Non-LBP group(p<0.001). And 90% of LBP group indicated abnormal Extension-Flexion Ratio(E/F ratio)(1.0 < Normal E/F ratio <1.6). When it comes to analyze relation between obesity index and muscle strength, Ext.PT/BW was significantly decreased according to PBF, WHR score. And correlation coefficient in Flex.PT, Flex.PT/BW, Ext.PT, Ext.PT/BW and PBF showed decreasing function. Conclusions : Results from this investigation showed positive correlation between obesity and LBP prevalence. Decreased muscle strength and inbalanced E/F ratio were shown in LBP. Trunk muscle strength was changed according to body mass composition parameters. This results are expected to contribute to prevent and diagnose LBP by application the clinical index of body composition analysis.

• Journal of Biomedical Engineering Research
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• v.25 no.1
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• pp.21-26
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• 2004

Recently, many people want to know their state of health, such as a body fat rate, anywhere and anytime. The Personal Digital Assistance(PDA) is the portable wireless apparatus that has become widely popular. There are many application areas of the IDA to be in mobile care devices. In this study, we developed the PDA based body fat measurement system, composed of a cradle type measurement module and a WindowCE operated software module, a regression equation for predicting lean body mass (LBM). Sixty-three weight-stable subjects (53 men, 10 women) aged 20∼32yr participated in this study. A regression model, LBM ＝ (0.0005＊Height2 - 0.0160＊Impedance ＋ 0.3920＊Weight - 0.0684＊Age - 5.8141＊Sex ＋ 25.984, was found. The correlation coefficient( r) of body fat rate between developed system and HTM1000plus(BionetTM) was 0.928. HTM1000plus is a commercially available and approved by KFDA. These results indicated that developed system is reliable for estimation of body fat rate. Although developed system is the PDA based miniaturized, it shows good performance comparing with other commercial product.