Potential of Impedance Spectroscopy as a Manifold Non-invasive Method for Medical Applications

Bouchaala, Dhouha; Nouri, Hanen; Atitallah, Bilel Ben; Derbel, Nabil; Kanoun, Olfa

doi:10.1007/978-3-030-71221-1_1

Cited by 3 publications

(3 citation statements)

References 93 publications

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“…Features in this range appear in many types of tissues and systems and are classified as belonging to the β-dispersion regime. Finally, the α-dispersion regime refers to a similar type of response that appears at frequencies in the kHz region or below, though its origin is less well understood (Foster et al 1986, Takashima et al 1989, Kuang and Nelson 1998, Martinsen et al 1998, Grimnes et al 2002, Gabriel et al 2009, Abdalla 2011, Grimnes and Martinsen 2011, Nordbotten et al 2014, Podtaev et al 2015, Crowell et al 2020, Bouchaala et al 2021.…”

Section: Introductionmentioning

confidence: 99%

Electrical properties of tissues from a microscopic model of confined electrolytes

Solis

Jadhao

2023

Phys. Med. Biol.

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Objective. In the presence of oscillatory electric fields, the motion of electrolyte ions in biological tissues is often limited by the confinement created by cell and organelle walls. This confinement induces the organization of the ions into dynamic double layers. This work determines the contribution of these double layers to the bulk conductivity and permittivity of tissues. Approach. Tissues are modeled as repeated units of electrolyte regions separated by dielectric walls. Within the electrolyte regions, a coarse-grained model is used to describe the associated ionic charge distribution. The model emphasizes the role of the displacement current inaddition to the ionic current and enables the evaluation of macroscopic conductivities and permittivities. Main results. We obtain analytical expressions for the bulk conductivity and permittivity as a function of the frequency of the oscillatory electricfield. These expressions explicitly include the geometric information of the repeated structure and the contribution of the dynamic double layers. The low-frequency limit of the conductivity expression yields a result predicted by the Debye permittivityform. The model also provides a microscopic interpretation of the Maxwell-Wagner effect. Significance. The results obtained contribute to the interpretation of the macroscopic measurements of electrical properties of tissues in terms of theirmicroscopic structure. The model enables a critical assessment of the justification for the use of macroscopic models to analyze the transmission of electrical signals through tissues.

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Section: Introductionmentioning

confidence: 99%

Electrical properties of tissues from a microscopic model of confined electrolytes

Solis

Jadhao

2023

Phys. Med. Biol.

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“…Impedance spectroscopy is an established measurement method for characterizing electrical properties, i.e., complex conductivity and permittivity of materials and systems [ 1 ]. Impedance measurement systems have been developed for a variety of applications, including material characterization with inductive sensors [ 2 ], chemical parameters investigation [ 3 ], and characterization of biological tissues [ 4 , 5 ]. Impedance spectroscopy can be applied to monitor human activity [ 6 ], diagnose muscles [ 7 ], detect and characterize cancer [ 8 ], and monitor human health on a daily basis [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Measurement Methods for Embedded Bioimpedance Spectroscopy Systems

Atitallah

Kallel

Bouchaala

et al. 2022

Sensors

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Bioimpedance spectroscopy (BIS) is an advanced measurement method for providing information on impedance changes at several frequencies by injecting a low current into a device under test and analyzing the response voltage. Several methods have been elaborated for BIS measurement, calculating impedance with a gain phase detector (GPD), IQ demodulation, and fast Fourier transform (FFT). Although the measurement method has a big influence on the measurement system performance, a systematical comparative study has not been performed yet. In this paper, we compare them based on simulations and experimental studies. To maintain similar conditions in the implementation of all methods, we use the same signal generator followed by a voltage-controlled current source (VCCS) as a signal generator. For performance analysis, three DUTs have been designed to imitate the typical behavior of biological tissues. A laboratory impedance analyzer is used as a reference. The comparison addresses magnitude measurement accuracy, phase measurement accuracy, signal processing, hardware complexity, and power consumption. The result shows that the FFT-based system excels with high accuracy for amplitude and phase measurement while providing the lowest hardware complexity, and power consumption, but it needs a much higher software complexity.

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“…Impedance Spectroscopy is a powerful method for several applications, such as electrical material characterization [1,2], body tissue diagnosis [3,4], cancer detection [5], cable fault diagnosis [6] and identification [7]. It is suitable for the determination of state-ofcharge [8] and state-of-health and aging of battery cells, such as lithium-ion and lead-acid batteries [9][10][11], as well as fuel-cells [12].…”

Section: Introductionmentioning

confidence: 99%

Crest Factor Optimization for Multisine Excitation Signals with Logarithmic Frequency Distribution Based on a Hybrid Stochastic-Deterministic Optimization Algorithm

Kallel

Kanoun

2022

Batteries

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For diagnosis of batteries and fuel cells based on impedance spectroscopy, excitation signals are required, including low frequencies down to the mHz range. This leads to a long measurement time and compromises the stability condition for impedance spectroscopy. Multisine excitation signals with logarithmic frequency distribution can significantly reduce the measurement time but need optimization of the crest factor to realize a high signal-to-noise ratio at all excitation frequencies and maintain at the same time the linearity and stability conditions of impedance spectroscopy. Crest factor optimization is challenging, as the obtained results strongly depend on the initial phase values and many trials are necessary. It takes a very long time and can not be easily performed automatically up to now. In this paper, we propose a time-efficient hybrid stochastic-deterministic crest factor optimization method for multisine signals with logarithmic frequency distribution. A sigmoid transform on the multisine signal gradually transforms the multi-frequency signal into a binary-alike signal. The crest factor is significantly decreased, but the phases of the singular frequency signals remain sub-optimal. Further optimization based on the Gauss-Newton algorithm can determine the final phases, realizing a lower crest factor. The proposed method is less sensitive to initial phase values and provides more reasonable results in a reasonable time. The validation on a Samsung INR-18650-25R Lithium-ion battery cell shows that the crest factor of the optimized multisine signals has a median of 3.62 ± 0.7 within 6 min of run time, which is significantly better than the best previous work in the state-of-the-art of 3.85 ± 0.11 for the same run time.

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Potential of Impedance Spectroscopy as a Manifold Non-invasive Method for Medical Applications

Cited by 3 publications

References 93 publications

Electrical properties of tissues from a microscopic model of confined electrolytes

Electrical properties of tissues from a microscopic model of confined electrolytes

Comparative Study of Measurement Methods for Embedded Bioimpedance Spectroscopy Systems

Crest Factor Optimization for Multisine Excitation Signals with Logarithmic Frequency Distribution Based on a Hybrid Stochastic-Deterministic Optimization Algorithm

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