Novel Estimation of the Electrical Bioimpedance Using the Local Polynomial Method. Application to In Vivo Real-Time Myocardium Tissue Impedance Characterization During the Cardiac Cycle

Sanchez, Benjamin; Schoukens, Johan; Bardia, Ramon Bragós; Vandersteen, Gerd

doi:10.1109/tbme.2011.2166116

Cited by 52 publications

(51 citation statements)

References 17 publications

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“…The muscle impedance was measured using a custom broadband impedance frequency response analyzer (FRA) [12], [15], [16]. The impedance measurement system was implemented on a rugged PC-platform PXI (PCI eXtensions for Instrumentation) platform from National Instruments.…”

Section: E Impedance Measurementmentioning

confidence: 99%

Impedance Alterations in Healthy and Diseased Mice During Electrically Induced Muscle Contraction

Sanchez

Geisbush

et al. 2016

IEEE Trans. Biomed. Eng.

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Abstract-Alterations in the health of muscles can be evaluated through the use of electrical impedance myography (EIM). To date, however, nearly all work in this field has relied upon the measurement of muscle at rest. To provide insight into the contractile mechanisms of healthy and disease muscle, we evaluated the alterations in the spectroscopic impedance behavior of muscle during the active process of muscle contraction. The gastrocnemii from a total of 13 mice were studied (5 wild type, 4 muscular dystrophy animals, and 4 amyotrophic lateral sclerosis animals). Muscle contraction was induced via monophasic current pulse stimulation of the sciatic nerve. Simultaneously, multisine EIM (1 kHz to 1 MHz) and force measurements of the muscle were performed. Stimulation was applied at 3 different rates to produce mild, moderate and strong contractions. We identified changes in both single and multifrequency data, as assessed by the Cole impedance model parameters. The processes of contraction and relaxation were clearly identified in the impedance spectra and quantified via derivative plots. Reductions in the center frequency f c were observed during the contraction consistent with increasing muscle fiber diameter. Different EIM stimulation rate-dependencies were also detected across the 3 groups of animals.

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Section: E Impedance Measurementmentioning

confidence: 99%

Impedance Alterations in Healthy and Diseased Mice During Electrically Induced Muscle Contraction

Sanchez

Geisbush

et al. 2016

IEEE Trans. Biomed. Eng.

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“…According to (22), the relative error in the predicted FM will be larger, or in a first approximation equal, to the ratio between TBW and the person's total volume V TOTAL attenuated by the factor 2/3. 4) From (21) and Fig.…”

Section: ) Since Tbwmentioning

confidence: 99%

“…Regarding the MF approach, we assume that the complex impedance data are initially fitted to a Cole impedance model using weighted complex nonlinear least square method. The impedance spectrum uncertainty is obtained experimentally from the voltage and current signals measured [22]. The standard errors of the Cole parameters are calculated from this fitting.…”

Section: B Proposed Framework To Estimate Body Composition Parametersmentioning

confidence: 99%

Propagation of Measurement Errors Through Body Composition Equations for Body Impedance Analysis

Sanchez

Aroul

Bartolome

et al. 2014

IEEE Trans. Instrum. Meas.

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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.Index Terms-AFE4300, body impedance analysis (BIA), electrical bioimpedance (EBI), electrical impedance spectroscopy (EIS), error propagation theory, measurement uncertainties.

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“…A higher speed spectroscopy is achievable through the use of broadband stimulation waveforms, e.g. square wave, step function, chirp, multi-sine and pseudo random noise [10,11]. However, depending on the design requirements of the measurement system, the estimation process can be limited by estimation method, number of spectroscopy frequencies, estimation of lower frequencies (longer time), power consumption, size and weight.…”

Section: Introductionmentioning

confidence: 99%

“…The problem of impedance undersampling in real-time monitoring of myocardium tissue and the subsequent loss of important information and measurement artefacts that might destroy the EBIS measurement has been addressed by Sanchez et al [12,13]. Sanchez et al have recently introduced a new measuring approach based on multi-sine EBIS for time-varying bioimpedance monitoring [14].…”

Section: Introductionmentioning

confidence: 99%

Electrical bioimpedance spectroscopy in time-variant systems: Is undersampling always a problem?

Abtahi

Seoane

Lindecrantz

2014

Journal of Electrical Bioimpedance

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During the last decades, Electrical Bioimpedance Spectroscopy (EBIS) has been applied mainly by using the frequency-sweep technique, across a range of many different applications. Traditionally, the tissue under study is considered to be timeinvariant and dynamic changes of tissue activity are ignored by treating the changes as a noise source. A new trend in EBIS is simultaneous electrical stimulation with several frequencies, through the application of a multi-sine, rectangular or other waveform. This method can provide measurements fast enough to sample dynamic changes of different tissues, such as myocard. This high sampling rate comes at a price of reduction in SNR and the increase in complexity of devices. Although the frequencysweep technique is often inadequate for monitoring the dynamic changes in a variant system, it can be used successfully in applications focused on the time-invariant or slowly-variant part of a system. However, in order to successfully use frequencysweep EBIS for monitoring time-variant systems, it is paramount to consider the effects of aliasing and especially the folding of higher frequencies, on the desired frequency e.g. DC level. This paper discusses sub-Nyquist sampling of thoracic EBIS measurements and its application in the case of monitoring pulmonary oedema. It is concluded that by considering aliasing, and with proper implementation of smoothing filters, as well as by using random sampling, frequency-sweep EBIS can be used for assessing time-invariant or slowly-variant properties of timevariant biological systems, even in the presence of aliasing. In general, undersampling is not always a problem, but does always require proper consideration.

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Novel Estimation of the Electrical Bioimpedance Using the Local Polynomial Method. Application to In Vivo Real-Time Myocardium Tissue Impedance Characterization During the Cardiac Cycle

Cited by 52 publications

References 17 publications

Impedance Alterations in Healthy and Diseased Mice During Electrically Induced Muscle Contraction

Impedance Alterations in Healthy and Diseased Mice During Electrically Induced Muscle Contraction

Propagation of Measurement Errors Through Body Composition Equations for Body Impedance Analysis

Electrical bioimpedance spectroscopy in time-variant systems: Is undersampling always a problem?

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