A Multitone Analysis for Bioimpedance Spectroscopy using Minimal Digital Ressource

Soulier, Fabien; Lamlih, Achraf; Kerzérho, Vincent; Bernard, Serge

doi:10.1109/icsenst.2018.8603607

Cited by 2 publications

(4 citation statements)

References 10 publications

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“…• Z S − -the OpAmp common mode input impedance. By substituting using the expressions (8), (9) and (11) the result enables calculation (8), an actual transfer function of the auto-balancing bridge is obtained, which includes OpAmp and feedback loop parameters and reflects sources of frequency errors (12):…”

Section: B Analysis and Formalization Of The Mathematical Model Of Tmentioning

confidence: 99%

“…. [9]. Implementation of impedance is very popular in various healthcare applications, where bio-impedance is frequently combined with analysis of other signals, such as electrocardiography (ECG) or electro-dermal activity data [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

“…The second one is correlated with the "multi-tone" signals and it allows to analyse the whole frequency range at the same time, however it requires implementation of more advances signal processing methods. Both methods require high computing power and are very time consuming [9].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Synthesis of Dynamic Errors Correcting Algorithm for Auto–Balancing Bridge Methods

Khoma

Podpora

et al. 2020

IEEE Access

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Autobalancing bridge method is widely used to measure the impedance of various objects in many fields of science and technology. The article presents an innovative approach to address autobalancing bridge dynamic errors to extend the range of operating frequencies. The mathematical model of auto-balancing bridge, implemented using operational amplifier, was analysed, obtaining its simplified version taking into account the most important sources of errors. The concept was developed and the algorithms for compensation of the impact of dynamic errors on the measurement of admittance components were synthesized. The presented algorithms allow the correction of admittance measurements only based on "raw" results obtained with the use of an auto-balancing bridge. Methodology was described and numerical simulation was carried out on a selected example. As shown in the paper, the developed correction algorithms allow extending significantly (400 times) the range of admittance measurement frequencies. These algorithms do not require interfering the auto-balancing bridge structure, but only engage the computing power of modern measurement channels. INDEX TERMS auto-balancing bridge method, conductance and susceptance measurement, correction algorithms, dynamic errors in frequency domain, mathematical model of operational circuit, multifrequency impedance meter.

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Section: B Analysis and Formalization Of The Mathematical Model Of Tmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Synthesis of Dynamic Errors Correcting Algorithm for Auto–Balancing Bridge Methods

Khoma

Podpora

et al. 2020

IEEE Access

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“…Last year, we presented a similar approach with further simplifications thanks to the power-of-two frequency distribution [15] at the International Conference on Sensing Technology ( icst 2018, Limerick, Ireland). The present paper proposes a slightly improved implementation of the concept resulting in a reduced (divided by two) clock frequency in most of the digital circuitry.…”

Section: Introductionmentioning

confidence: 99%

Very Low Resource Digital Implementation of Bioimpedance Analysis

Soulier

Lamlih

Kerzérho

et al. 2019

Sensors

Self Cite

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Bioimpedance spectroscopy consists of measuring the complex impedance of biological tissues over a large frequency domain. This method is particularly convenient for physiological studies or health monitoring systems. For a wide range of applications, devices need to be portable, wearable or even implantable. Next generation of bioimpedance sensing systems thus require to be implemented with power and resource savings in mind. Impedance measurement methods are divided into two main categories. Some are based on “single-tone” signals while the others use “multi-tone” signals. The firsts benefit from a very simple analysis that may consist of synchronous demodulation. However, due to necessary frequency sweep, the total measurement may take a long time. On the other hand, generating a multi-frequency signal allows the seconds to cover the whole frequency range simultaneously. This is at the cost of a more complex analysis algorithm. This makes both approaches hardly suitable for embedded applications. In this paper, we propose an intermediate approach that combines the speed of multi-tone systems with a low-resource analysis algorithm. This results in a minimal implementation using only adders and synchronous adc. For optimal performances, this small footprint digital processing can be synthesized and embedded on a mixed-mode integrated circuit together with the analog front-end. Moreover, the proposed implementation is easily scalable to fit an arbitrary frequency range. We also show that the resulting impact on noise sensitivity can be mitigated.

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A Multitone Analysis for Bioimpedance Spectroscopy using Minimal Digital Ressource

Cited by 2 publications

References 10 publications

Synthesis of Dynamic Errors Correcting Algorithm for Auto–Balancing Bridge Methods

Synthesis of Dynamic Errors Correcting Algorithm for Auto–Balancing Bridge Methods

Very Low Resource Digital Implementation of Bioimpedance Analysis

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