• Journal of Korea Multimedia Society
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• v.21 no.6
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• pp.723-735
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• 2018

Indicators to quantitatively assess the physical conditions can help optimize the effectiveness of rehabilitation therapy for stroke patients. The body composition variations in the paretic and non-paretic regions of stroke patients with cerebral infarction (7 males, 31 females) were analyzed using multi-frequency bioelectrical impedance. Specifically, resistance (R), lean mass (LM), fat mass (FM), extracellular water (ECW), intracellular water (ICW), R/LM relation, basal metabolic rate (BMR)/LM relation were utilized to evaluate the paretic and non-paretic regions of subjects with cerebral infarction. These values showed significant differences in gender and paretic/non-paretic regions. R and FM were high but LM and ICW were lower in female and paralysis. ECW was lower in females than males, but there was no considerable difference between paralysis and non-paralysis in both males and females. In addition, there was an inverse distribution between R and LM in paretic and non-paretic regions, with males on the upper left and females on the lower right. Furthermore, the relationship between BMR and LM showed excellent linearity (slope: 22.17 kcal/day/kg) irrespective of gender, paralysis, and non-paralysis. An easy, non-invasive and quantitative assessment using bioelectrical impedance would provide an useful tool for evaluating patients with cerebral infarction receiving rehabilitation therapy.

• Journal of Sensor Science and Technology
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• v.26 no.5
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• pp.314-323
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• 2017

Indicators to quantitatively evaluate the body function may help to optimize the effectiveness of rehabilitation therapy for stroke patients. In this study, we analyzed the body composition in the paretic and nonparetic regions of stroke patients with hemiplegia caused by cerebral hemorrhage (7 cases) and cerebral infarction (13 cases) using multifrequency bioelectrical impedance. Specifically, we considered fat mass (FM), fat-free mass (FFM), FFMI index (FFMI), FM/FFM relation, body cell mass (BCM), basal metabolic rate (BMR), and BMR/FFM relation to evaluate the bodily function in the paretic and nonparetic regions. These values showed considerable differences according to grades determined by the stroke causes and the paralysis status. In the paretic regions, the FFM, FFMI, BCM, and BMR were low and the FM was high. In contrast, the nonparetic regions showed a high FFM and low FM. Furthermore, the paretic and nonparetic regions of all patients suitably fit a linear relation (slope: 22.17 kcal/day/kg) between BMR and FFM. Therefore, bio-electrical impedance measurements can be very useful to quantitatively assess paretic and nonparetic regions in hemiplegic stroke patients.

• Nutrition Research and Practice
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• v.5 no.3
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• pp.246-252
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• 2011

Bioelectrical impedance analysis (BIA) models must be validated against a reference method in a representative population sample before they can be accepted as accurate and applicable. The purpose of this study was to compare the eight-electrode BIA method with DEXA as a reference method in the assessment of body composition in Korean adults and to investigate the predictive accuracy and applicability of the eight-electrode BIA model. A total of 174 apparently healthy adults participated. The study was designed as a cross-sectional study. FM, %fat, and FFM were estimated by an eight-electrode BIA model and were measured by DEXA. Correlations between BIA_%fat and DEXA_%fat were 0.956 for men and 0.960 for women with a total error of 2.1%fat in men and 2.3%fat in women. The mean difference between BIA_%fat and DEXA_%fat was small but significant (P < 0.05), which resulted in an overestimation of $1.2{\pm}2.2$%fat (95% CI: -3.2-6.2%fat) in men and an underestimation of $-2.0{\pm}2.4$%fat (95% CI: -2.3-7.1%fat) in women. In the Bland-Altman analysis, the %fat of 86.3% of men was accurately estimated and the %fat of 66.0% of women was accurately estimated to within 3.5%fat. The BIA had good agreement for prediction of %fat in Korean adults. However, the eight-electrode BIA had small, but systemic, errors of %fat in the predictive accuracy for individual estimation. The total errors led to an overestimation of %fat in lean men and an underestimation of %fat in obese women.

• Korean Journal of Human Ecology
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• v.13 no.6
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• pp.1037-1046
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• 2004

Age-dependent changes in body fat can often be observed in normal population. A series of indirect body fat estimates, such as hydrodensitometry, Bioelectrical Impedance Analysis(BIA), and anthropometry equation for body fat, have been developed. The BIA made it possible to analyze body fat mass more related to hydrodensitometry than anthropometry. This study is to compare the body composition analysis between bioelectrical impedance analysis(BIA) and anthropometric measurements of women. The subjects were a group of Daejeon residents including 32 young-aged women($21.50{\pm}1.44$), 30 middle-aged women($50.33{\pm}5.27$), and 40 old-aged women($69.22{\pm}5.74$). We used BIA(inbody 3.0, Biospace Korea) to determine body fat and other body composition. We also measured weight, height, circumference for 12 parts, and skinfold thickness for 9 parts of all subjects' body. The results are as follows: The subjects' height by the age group were $161.74{\pm}0.94cm$ in the young-aged women, $154.16{\pm}1.09cm$ in the middle-aged, and $148.60{\pm}0.78cm$ in the old-aged respectively. BMI were, in order, $21.68{\pm}0.49,\;22.87{\pm}0.89,\;and\;23.85{\pm}0.55$. Relative body fat determined by BIA was, also in order, $29.06{\pm}0.92%,\;26.35{\pm}1.02%,and\;29.35{\pm}1.07%$. Circumference and skinfold that showed the highest correlation with body fat by BIA was waist in the young-aged(r=0.738) and bast in the middle- and old-aged(r=0.844, r=0.804), and triceps in the young-and old-aged(r=0.538, r=0.798), and subcostal in the middle-aged(r=0.872). Body fat Estimations by BIA were the highest correlation with Caucasian women's equation(r=0.588) in young-aged women, Siri's equation with Durnin & Womesley's body density measurement(r=0.875) in middle aged women and Caucasian women' equation(r=0.872) in old aged women. We need to develop specific anthropometric equations based on sex and age to determine body fat.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.2
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• pp.433-437
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• 2009

The purpose of this study was to measure circumference of four body parts of each Sasang groups with Bioelectrical Impedance Analysis (BIA), and evaluate its usefulness for Sasang type diagnostic test. We obtained the circumference measures of neck (CN), chest (CC), waist (CW), and hip (CH) of 91 college students using BIA and standardized by sex and age. The validity of Sasang group prediction with CC was evaluated. The Tae-Eum group (104.87${\pm}$5.19, 108.47${\pm}$4.96, 116.00${\pm}$9.39, 110.4${\pm}$5.29. neck, chest, waist and hip, respectively) has significantly (p<0.001) bigger circumferences than So-Yang (97.79${\pm}$3.82, 100.02${\pm}$4.21, 101.02${\pm}$7.88, 101.95${\pm}$4.06) and So-Eum (95.63${\pm}$4.67, 96.93${\pm}$4.80, 97.63${\pm}$7.72, 99.86${\pm}$4.40) groups at very four measures. Discriminant functions with CC can be used for Tae-Eum Sasang type diagnostic test with 91.2% of overall Percentage Correctly Predicted (PCP). Tae-Eum type-specific sensitivity was 73.3% and Tae-Eum type-specific specificity was 94.7%. The strength and weakness of measurement and standardization methods for Sasang type diagnostic test, and the methods for the standardization of physical traits with sex and age were discussed. Our study showed distinctive physical features of Tae-Eum type and the usefulness of BIA for the Sasang type diagnosis.

• The Korean Journal of Medicine
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• v.93 no.6
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• pp.548-555
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• 2018

Background/Aims: Assessment of fluid status in hemodialysis patents is very important. Overhydration in hemodialysis is associated with generalized edema, cardiovascular complications, and hypertension. The aim of this study was to determine the factors correlated with mortality of hemodialysis patients, assessing body muscle mass and fluid status using bioelectrical impedance analysis (BIA). Methods: This study enrolled 93 patients who underwent hemodialysis between January 2010 and May 2015 at CHA Bundang Medical Center. Medical records of enrollees up to June 2017 were reviewed retrospectively. These included laboratory results (serum albumin, C-reactive protein [CRP], lipid profile, etc.) and BIA data (extracellular water, intracellular water, total body water, soft lean mass, fat free mass, skeletal muscle mass, etc.). Results: Eleven of 93 patients had expired by May 2017. Among the surviving subjects, mean age was younger, CRP levels were lower, albumin levels were higher, and extracellular water/total body water (ECW/TBW) ratios were lower than in the expired patient group. Kaplan-Meier survival analysis revealed that overhydration (ECW/TBW > 0.4) was associated with higher mortality. Conclusions: In hemodialysis patients, overhydration is an important factor in mortality, and BIA could be a reliable modality in its assessment. We suggest that, for hemodialysis patients, overhydration is more of a risk factor for mortality than is muscle wasting.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2705-2707
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• 2005

본 논문은 4 전극법을 이용한 BIA (Bioelectrical Impedance Analysis)측정 기술로 측정된 신체의 내부 임피던스와 중량, 그리고 신장의 데이터를 활용하여 서로의 상관관계를 밝히고, 내부 임피던스와 중량의 관계로부터 신장을 측정하는 실험에 관한 것이다.

• 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 $5mm\times5mm$.