Literature DB >> 26863670

Smart Multi-Frequency Bioelectrical Impedance Spectrometer for BIA and BIVA Applications.

Rene Harder, Andre Diedrich, Jonathan S Whitfield, Macie S Buchowski, John B Pietsch, Franz J Baudenbacher.   

Abstract

Bioelectrical impedance analysis (BIA) is a noninvasive and commonly used method for the assessment of body composition including body water. We designed a small, portable and wireless multi-frequency impedance spectrometer based on the 12 bit impedance network analyzer AD5933 and a precision wide-band constant current source for tetrapolar whole body impedance measurements. The impedance spectrometer communicates via Bluetooth with mobile devices (smart phone or tablet computer) that provide user interface for patient management and data visualization. The export of patient measurement results into a clinical research database facilitates the aggregation of bioelectrical impedance analysis and biolectrical impedance vector analysis (BIVA) data across multiple subjects and/or studies. The performance of the spectrometer was evaluated using a passive tissue equivalent circuit model as well as a comparison of body composition changes assessed with bioelectrical impedance and dual-energy X-ray absorptiometry (DXA) in healthy volunteers. Our results show an absolute error of 1% for resistance and 5% for reactance measurements in the frequency range of 3 kHz to 150 kHz. A linear regression of BIA and DXA fat mass estimations showed a strong correlation (r(2)=0.985) between measures with a maximum absolute error of 6.5%. The simplicity of BIA measurements, a cost effective design and the simple visual representation of impedance data enables patients to compare and determine body composition during the time course of a specific treatment plan in a clinical or home environment.

Entities:  

Mesh:

Year:  2016        PMID: 26863670      PMCID: PMC4970917          DOI: 10.1109/TBCAS.2015.2502538

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  30 in total

1.  [Bio-electric properties of tissues. Estimation by measurement of impedance of extracellular ionic strength and intracellular ionic strength in the clinic].

Authors:  A THOMASSET
Journal:  Lyon Med       Date:  1963-06-02

2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

3.  Dual-energy X-ray absorptiometry: fat estimation errors due to variation in soft tissue hydration.

Authors:  A Pietrobelli; Z Wang; C Formica; S B Heymsfield
Journal:  Am J Physiol       Date:  1998-05

4.  A new method for monitoring hydration at high altitude by bioimpedance analysis.

Authors:  A Piccoli; P Piazza; D Noventa; L Pillon; M Zaccaria
Journal:  Med Sci Sports Exerc       Date:  1996-12       Impact factor: 5.411

Review 5.  Evolution of bioimpedance: a circuitous journey from estimation of physiological function to assessment of body composition and a return to clinical research.

Authors:  H C Lukaski
Journal:  Eur J Clin Nutr       Date:  2013-01       Impact factor: 4.016

6.  Patterns of bioelectrical impedance vector distribution by body mass index and age: implications for body-composition analysis.

Authors:  Anja Bosy-Westphal; Sandra Danielzik; Ralf-Peter Dörhöfer; Antonio Piccoli; Manfred J Müller
Journal:  Am J Clin Nutr       Date:  2005-07       Impact factor: 7.045

7.  Single prediction equation for bioelectrical impedance analysis in adults aged 20--94 years.

Authors:  U G Kyle; L Genton; L Karsegard; D O Slosman; C Pichard
Journal:  Nutrition       Date:  2001-03       Impact factor: 4.008

Review 8.  Body composition analysis in older adults with dementia. Anthropometry and bioelectrical impedance analysis: a critical review.

Authors:  M A Camina Martín; B de Mateo Silleras; M P Redondo del Río
Journal:  Eur J Clin Nutr       Date:  2014-08-13       Impact factor: 4.016

9.  How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups?

Authors:  D Gallagher; M Visser; D Sepúlveda; R N Pierson; T Harris; S B Heymsfield
Journal:  Am J Epidemiol       Date:  1996-02-01       Impact factor: 4.897

10.  Accuracy of specific BIVA for the assessment of body composition in the United States population.

Authors:  Roberto Buffa; Bruno Saragat; Stefano Cabras; Andrea C Rinaldi; Elisabetta Marini
Journal:  PLoS One       Date:  2013-03-06       Impact factor: 3.240

View more
  4 in total

1.  Endothelial-Dependent Vasomotor Dysfunction in Infants After Cardiopulmonary Bypass.

Authors:  Luke T Krispinsky; Ryan J Stark; David A Parra; Liming Luan; David P Bichell; John B Pietsch; Fred S Lamb
Journal:  Pediatr Crit Care Med       Date:  2020-01       Impact factor: 3.624

2.  POISED-5, a portable on-board electrochemical impedance spectroscopy biomarker analysis device.

Authors:  M Anne Sawhney; R S Conlan
Journal:  Biomed Microdevices       Date:  2019-07-04       Impact factor: 2.838

3.  Bioimpedance Sensor and Methodology for Acute Pain Monitoring.

Authors:  Mihaela Ghita; Martine Neckebroek; Jasper Juchem; Dana Copot; Cristina I Muresan; Clara M Ionescu
Journal:  Sensors (Basel)       Date:  2020-11-26       Impact factor: 3.576

Review 4.  "The Smartphone's Guide to the Galaxy": In Situ Analysis in Space.

Authors:  Joost Nelis; Christopher Elliott; Katrina Campbell
Journal:  Biosensors (Basel)       Date:  2018-10-19
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.