Simulation of the Sensitivity Distribution of Four- Electrode Impedance Sensing on Radial Artery

Pesti, Ksenija; Kõiv, Hip; Min, Mart

doi:10.1109/sas.2019.8705976

Cited by 6 publications

(6 citation statements)

References 22 publications

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“…S1). Nevertheless, in miniaturized electrode arrangements, electrodes are in the same substrate and are thus coplanar, in close proximity and often arranged either in the corners of a square [3], [100], or more often parallel to each other [12], [15], [45], [49], [91], [101], [102], although circular arrangements are also common [7], [103]- [105], as well as electrodes placed on the sides of a cube [106] and other arrangements [107].…”

Section: H Tetrapolar Impedance Sensorsmentioning

confidence: 99%

Bioimpedance Sensors: A Tutorial

Kassanos

2021

IEEE Sensors J.

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Electrical bioimpedance entails the measurement of the electrical properties of tissues as a function of frequency. It is thus a spectroscopic technique. It has been applied in a plethora of biomedical applications for diagnostic and monitoring purposes. In this tutorial, the basics of electrical bioimpedance sensor design will be discussed. The electrode/electrolyte interface is thoroughly described, as well as methods for its modelling with equivalent circuits and computational tools. The design optimization and modelling of bipolar and tetrapolar bioimpedance sensors is presented in detail, based on the sensitivity theorem. Analytical and numerical modelling approaches for electric field simulations based on conformal mapping, point electrode approximations and the finite element method (FEM) are also elaborated. Finally, current trends on bioimpedance sensors are discussed followed by an overview of instrumentation methods for bioimpedance measurements, covering aspects of voltage signal excitations, current sources, voltage measurement front-end topologies and methods for computing the electrical impedance.

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Section: H Tetrapolar Impedance Sensorsmentioning

confidence: 99%

Bioimpedance Sensors: A Tutorial

Kassanos

2021

IEEE Sensors J.

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“…Sensitivity field is a frequently discussed topic in the impedance measurements. The transfer impedance (Ζ) can be approximated as the ration measured between the pick-up (PU) couple voltage (E) and the injected current (I) between the current-carrying (CC) couple [34].…”

Section: Simulation Of Sensitivity Distribution For Ebi Measurementmentioning

confidence: 99%

“…A finite element modelling (FEM) was used for simulation of four-electrode impedance measuring on the human forearm with different setups and configurations between electrode couples. The objective of the study was to describe the spatial sensitivity field in order to optimise the bioimpedance measurement acquisition of haemodynamics [34]. Two most common approaches of electrode placement for EBI measurements on the wrist are distal and circular [28] which are also used for simulation.…”

Section: Experimental Bioimpedance Sensitivity Simulationmentioning

confidence: 99%

“…The sensitivity can be represented as a projection of the density lines of current-carrying electrode couple on the voltage pick-up density lines, and it describes how effectively different regions are contributing to the measured signal ( Figure 13) [33]. In Figure 14, the configurations A and C have regions of both positive and negative sensitivities, but B (electrodes circularly) detects that the radial artery have only positive (or negative) sensitivity [34]. The maximum sensitivity is concentrated close to the surface of the forearm, near the artery.…”

Section: Experimental Bioimpedance Sensitivity Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Noninvasive Acquisition of the Aortic Blood Pressure Waveform

Min¹,

Kõiv²,

Priidel³

et al. 2019

Wearable Devices - The Big Wave of Innovation

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Blood pressure reflects the status of our cardiovascular system. For the measurement of blood pressure, we typically use brachial devices on the upper arm, and much less often, the radial devices with pressure sensors on the wrist. Medical doctors know that this is an unfortunate case. The brachial pressure and even more, the radial pressure, both are poor replacements for the central aortic pressure (CAP). Moreover, the devices on the market cannot provide continuous measurements 24 h. In addition, most of the ambulatory and wearable monitors do not enable acquisition of the blood pressure curves in time. These circumstances limit the accuracy of diagnosing. The aim of this chapter is to introduce our experiments, experiences and results in developing the wearable monitor for central aortic blood pressure curve by using electrical bioimpedance sensing and measurement. First, electronic circuitry with embedded data acquisition and signal processing approaches is given. Second, finding appropriate materials, configurations and placements of electrodes is of interest. Third, the results of modelling and simulations are discussed for obtaining the best sensitivity and stability of the measurement procedures. Finally, the discussion on the provided provisional experiments evaluates the obtained results. The conclusions are drawn together with the need for further development.

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“…This makes it promising to use electrical conductivity measurements, such as in EIT or impedance cardiography, in haemodynamic monitoring using surface electrodes on the skin. In fact, there have been several works recently aiming to monitor blood flow and/or pressure waveforms using them, e.g., common carotid arteries (Zhang et al 2020), aortic artery (Badeli et al 2020), pulmonary artery (Braun et al 2018), radial artery (Pesti et al 2019), and cerebral arteries (Beraldo and Moura 2020). There are works about impedance cardiography to determine stroke volume (Bernstein 2010), electrical bioimpedance sensing to determine the central aortic pressure (CAP) curves (Min et al 2019), and pulmonary artery pressure estimation using EIT (Proença et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Anatomical atlas of the upper part of the human head for electroencephalography and bioimpedance applications

Moura,

Beraldo,

Ferreira

et al. 2021

Preprint

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Volume conductor problems in cerebral electrophysiology and bioimpedance do not have analytical solutions for nontrivial geometries and require a 3D model of the head and its electrical properties for solving the associated PDEs numerically. Ideally, the model should be made with patient-specific information. In clinical practice, this is not always the case and an average head model is often used. Also, the electrical properties of the tissues might not be completely known due to natural variability. The objective of this work is to develop a 4D (3D+T) statistical anatomical atlas of the electrical properties of the upper part of the human head for cerebral electrophysiology and bioimpedance applications. The atlas is an important tool for in silico studies on cerebral circulation and electrophysiology that require statistically consistent data, e.g., machine learning, sensitivity analyses, and as a benchmark to test inverse problem solvers. The atlas was constructed based on MRI images of human individuals and comprises the electrical properties of the main internal structures and can be adjusted for specific electrical frequencies. The proposed atlas also comprises a time-varying model of arterial brain circulation, based on the solution of the Navier-Stokes equation in the main arteries and their vascular territories. The atlas was successfully used to simulate electrical impedance tomography measurements indicating the necessity of signal-to-noise between 100 and 125 dB to identify vascular changes due to the cardiac cycle, corroborating previous studies.

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Simulation of the Sensitivity Distribution of Four- Electrode Impedance Sensing on Radial Artery

Cited by 6 publications

References 22 publications

Bioimpedance Sensors: A Tutorial

Bioimpedance Sensors: A Tutorial

Noninvasive Acquisition of the Aortic Blood Pressure Waveform

Anatomical atlas of the upper part of the human head for electroencephalography and bioimpedance applications

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