Title
Propagation of Measurement Errors Through Body Composition Equations for Body Impedance Analysis
Abstract
In this paper, we present a framework to analyze the propagation of measurement errors through the body composition equations. This is done through the equations for body composition assessment (BCA), for single/multifrequency (SF, MF) body impedance analysis (BIA) approaches. We show that it is possible to estimate a priori the error variance on the BCA parameters from the error measurement in the weight, height, and impedance. The theoretical results are validated through the simulation and experimental data coming from the low-cost AFE4300 impedance spectrometer developed by Texas Instruments. This new spectrometer has been calibrated and characterized by performing measurements on phantoms and foot-to-foot body impedance measurements. The influence of the number of measurement frequencies on the accuracy of BCA is also studied for MF-BIA approach. Ultimately, the measurement error framework can be used to evaluate the suitability of an impedance system for BIA.
Year
DOI
Venue
2014
10.1109/TIM.2013.2292272
Instrumentation and Measurement, IEEE Transactions  
Keywords
Field
DocType
bioelectric potentials,biomedical equipment,biomedical measurement,electric impedance measurement,error analysis,height measurement,partial differential equations,phantoms,physiological models,weighing,BCA accuracy,BCA parameters,Texas Instruments,a priori error variance estimation,body composition assessment,body composition equations,body impedance analysis,foot-to-foot body impedance measurements,height error measurement,impedance error measurement,impedance spectrometer characterization,low-cost AFE4300 impedance spectrometer calibration,measurement error propagation,measurement frequency number effect,multifrequency BIA,phantom measurements,simulation,single frequency BIA,weight error measurement,AFE4300,body impedance analysis (BIA),electrical bioimpedance (EBI),electrical impedance spectroscopy (EIS),error propagation theory,measurement uncertainties,measurement uncertainties.
Error variance,Experimental data,A priori and a posteriori,Spectrometer,Electronic engineering,Electrical impedance,Frequency modulation,Partial differential equation,Mathematics,Observational error
Journal
Volume
Issue
ISSN
63
6
0018-9456
Citations 
PageRank 
References 
4
1.07
2
Authors
6