scholarly journals Wrist-wearable bioelectrical impedance analyzer with miniature electrodes for daily obesity management

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Myoung Hoon Jung ◽  
Kak Namkoong ◽  
Yeolho Lee ◽  
Young Jun Koh ◽  
Kunsun Eom ◽  
...  

AbstractBioelectrical impedance analysis (BIA) is used to analyze human body composition by applying a small alternating current through the body and measuring the impedance. The smaller the electrode of a BIA device, the larger the impedance measurement error due to the contact resistance between the electrode and human skin. Therefore, most commercial BIA devices utilize electrodes that are large enough (i.e., 4 × 1400 mm2) to counteract the contact resistance effect. We propose a novel method of compensating for contact resistance by performing 4-point and 2-point measurements alternately such that body impedance can be accurately estimated even with considerably smaller electrodes (outer electrodes: 68 mm2; inner electrodes: 128 mm2). Additionally, we report the use of a wrist-wearable BIA device with single-finger contact measurement and clinical test results from 203 participants at Seoul St. Mary’s Hospital. The correlation coefficient and standard error of estimate of percentage body fat were 0.899 and 3.76%, respectively, in comparison with dual-energy X-ray absorptiometry. This result exceeds the performance level of the commercial upper-body portable body fat analyzer (Omron HBF-306). With a measurement time of 7 s, this sensor technology is expected to provide a new possibility of a wearable bioelectrical impedance analyzer, toward obesity management.

1990 ◽  
Vol 2 (2) ◽  
pp. 140-148 ◽  
Author(s):  
N. Kay Covington ◽  
Darlene A. Kluka ◽  
Phyllis A. Love

This investigation compared the percentage of body fat obtained using the bioelectrical impedance technique and the anthropometric technique on a black pediatric population consisting of 196 subjects, 93 girls and 103 boys, ages 5-11 years. Subjects were measured utilizing the Bioelectrical Impedance Analyzer-103 (RJL Systems, Inc.). In order to simulate a realistic school environment, protocol was deliberately not followed. Anthropometric measurements were obtained at two sites: triceps and medial calf. The anthropometric and BIA percentages of body fat were compared using the Pearson product-moment coefficient or correlation and an ANOVA. The overall relationship between the groups was .809. Use of the BIA appears to lead to an overestimation of fatness in black children.


2018 ◽  
Vol 55 (3) ◽  
pp. 356
Author(s):  
R. Sahul Hameed ◽  
A. Rahamath Nisha ◽  
M. Muthulakshmi ◽  
A. Ananthi

Nutritional anthropometry is a widely accepted and commonly used technique to determine health risks associated with malnutrition. However the uses of anthropometry in large epidemiological studies have certain limitations such as some degree of measurement error, lack of trained manpower and laborious measurement process. Bioelectrical Impedance Analysis (BIA) is recognized as an alternative tool to anthropometry and extensively studied its suitability to measure the nutritional status of the individuals in field settings. Hence, a cross sectional study was undertaken to assess the nutritional status of college going adolescent girls (18+ years of age) by using Bioelectrical Impedance Analyzer. Total of one hundred ninety three in-house students were selected for this study based on random sampling method. Socioeconomic background of the selected participants were collected through personal interview. KaradaScan Body Composition Monitor with Scale (Model HBF-362, Omron Healthcare Company Limited, Kyoto, Japan) was used to determine the body composition of the participants. The results showed that majority of the participants were Hindu (>90%), belong to Backward and Scheduled Caste community, father work as a coolie and earn Rs. 25,000-50,000/- per annum. Based on Body Mass Index (BMI) cut off point, 50% of the participants were normal (BMI 18.5 – 24.9 kg/m2), 40% of them were underweight (BMI<18.5 kg/m2) and the remaining were overweight (BMI 25.0–30.0 kg/m2). Body composition analysis revealed that skeletal muscle and body fat content were 26.16±1.38 (ranged from 20 to 30%) and 29.02±3.56 % (ranged between 20 and 38%) of the total body weight respectively. Visceral and subcutaneous fat content were 2.70±1.65 and 22.38±4.38% of total body fat respectively. The findings indicate that the prevalence of undernutrition is higher among college going adolescent girls than over nutrition due to poor economic situation, faulty diet habits, peer pressure on body image, mental stress, lack of physical activity etc.


2010 ◽  
Vol 30 (5) ◽  
pp. 297-304 ◽  
Author(s):  
David N. Erceg ◽  
Christina M. Dieli-Conwright ◽  
Amerigo E. Rossuello ◽  
Nicole E. Jensky ◽  
Stephanie Sun ◽  
...  

2009 ◽  
Vol 18 (2) ◽  
pp. 38 ◽  
Author(s):  
J Durandt ◽  
S Du Toit ◽  
J Borresen ◽  
T Hew-Butler ◽  
H Masimla ◽  
...  

Objective. The aim of this study was to describe the body composition, strength and speed characteristics of elite junior South African rugby players. Design. Cross-sectional. Setting. Field study. Subjects. Rugby players (16 and 18 years old, N = 174) selected for the South African Rugby Union National Green Squad. Outcome measures. Body composition, 10 m and 40 m speed, agility, 1RM bench press, underhand pull-ups, push-ups, multistage shuttle run. Results. The under-16 players were on average shorter (175.6 ± 5.7 v. 179.2 ± 6.7 cm), weighed less (76.5 ± 8.2 v. 84.8 ± 8.3 kg) had less upper body absolute strength (77.1 ± 11.8 kg v. 95.3 ± 16.7 kg) and muscular endurance (41 ± 12 v. 52 ± 15 push-ups) and aerobic fitness (87.1 ± 19.4 v. 93.5 ± 15.3 shuttles) than the under-18 players. There were no differences in body fat, sprinting speed (10 m and 40 m) or agility between the two age groups. There were differences between playing positions, with the props having the most body fat, strongest upper bodies, slowest sprinting speed, least agility and lowest aerobic capacity compared with players in the other positions. Conclusion. This study provides data for elite junior rugby players and can be used to monitor the progression of players after intervention while also assisting with talent identification for the different playing positions. South African Journal of Sports Medicine Vol. 18 (2) 2006: pp. 38-45


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