Bioimpedance Sensors: A Tutorial

Kassanos, Panagiotis

doi:10.1109/jsen.2021.3110283

Cited by 46 publications

(24 citation statements)

References 215 publications

(392 reference statements)

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“…ω = 2πf , where f is the electric signal frequency, and θ denotes the phase difference between voltage and current ( [16]). Separating P U and CC electrodes as independent pairs allows to mitigate the effects of interface impedance formed by an ionic double-layer at the electrode surface in an electrolyte ( [17], [18]). We refer to such a case as a four-electrode configuration.…”

Section: B Electrical Impedance Measurementsmentioning

confidence: 99%

Fish Detection Using Electrical Impedance Spectroscopy

Nowak

Lankheet

2022

IEEE Sensors J.

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Fish detection in shallow water conditions or close to the bottom poses specific challenges, which often can hardly be addressed using typical acoustical or optical means. This significantly limits the possibilities of fish population monitoring and the use of fish detection for optimizing fishing techniques in such environments. Here, we investigate the potential of electrical impedance spectroscopy as a remote sensing technique for fish detection, to address this issue. The approach utilizes a set of electrodes to generate a low-intensity alternating electric current through water, and to measure the impedance. We conducted a number of experiments in which a fish was swimming in a glass tank. We measured changes in impedance at different frequencies, using different electrode arrangements, while simultaneously tracking the fish position with a pair of cameras. We also created numerical models of the experimental setup using the finite element method. The results of simulations were compared to the experimental data to test the accuracy of predictions and to determine if such a model could be a useful tool for designing detection setups for specific environmental conditions. We measured the robustness of the system to the presence air bubbles as a potential source of disturbances. Our results show a clear correlation between the observed drops in both real and imaginary parts of the measured impedance and the position of the fish. Model simulations showed qualitatively and quantitively similar results, indicating that such models could be suitable for practical applications.

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Section: B Electrical Impedance Measurementsmentioning

confidence: 99%

Fish Detection Using Electrical Impedance Spectroscopy

Nowak

Lankheet

2022

IEEE Sensors J.

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“…Z ) values from the module at frequencies of 0.1 and 10 kHz were linearly correlated with the input R values ranging from 5 kohm to 5 Mohm, verifying the capability of our Z sensor and wireless module to detect the skin Z value, which normally ranges from 10 kohm to 1 Mohm. Because the value of Z varies with the size, geometry, and arrangement of electrodes 29 , the performance of our impedance sensor can be determined by comparing our data with the impedance sweeping data obtained through electrochemical impedance spectroscopy (EIS), as shown in Fig. S1 .…”

Section: Resultsmentioning

confidence: 99%

A fabric-based wearable sensor for continuous monitoring of decubitus ulcer of subjects lying on a bed

Lee

Kim

Jeon

et al. 2023

Sci Rep

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For multifunctional wearable sensing systems, problems related to wireless and continuous communication and soft, noninvasive, and disposable functionality issues should be solved for precise physiological signal detection. To measure the critical transitions of pressure, temperature, and skin impedance when continuous pressure is applied on skin and tissue, we developed a sensor for decubitus ulcers using conventional analog circuitry for wireless and continuous communication in a disposable, breathable fabric-based multifunctional sensing system capable of conformal contact. By integrating the designed wireless communication module into a multifunctional sensor, we obtained sensing data that were sent sequentially and continuously to a customized mobile phone app. With a small-sized and lightweight module, our sensing system operated over 24 h with a coin-cell battery consuming minimum energy for intermittent sensing and transmission. We conducted a pilot test on healthy subjects to evaluate the adequate wireless operation of the multifunctional sensing system when applied to the body. By solving the aforementioned practical problems, including those related to wireless and continuous communication and soft, noninvasive, and disposable functionality issues, our fabric-based multifunctional decubitus ulcer sensor successfully measured applied pressure, skin temperature, and electrical skin impedance.

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“…Impedance spectroscopy is a non-invasive method used in various fields, such as biology, medicine and material science 1 to characterize the passive electrical impedance of a material or sample. It is widely applied to characterize biological tissues, where the measured impedance is often referred to as tissue bioimpedance 2 . Recently tissue bioimpedance has been utilized for respiratory monitoring during inspiratory loading, which enabled development a wearable device for detection of normal and restrictive breathing 3 .…”

Section: Introductionmentioning

confidence: 99%

A novel method for in-situ extracting bio-impedance model parameters optimized for embedded hardware

Simić

Freeborn

Šekara

et al. 2023

Sci Rep

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A novel method for embedded hardware-based parameter estimation of the Cole model of bioimpedance is developed and presented. The model parameters R∞, R1 and C are estimated using the derived set of equations based on measured values of real (R) and imaginary part (X) of bioimpedance, as well as the numerical approximation of the first derivative of quotient R/X with respect to angular frequency. The optimal value for parameter α is estimated using a brute force method. The estimation accuracy of the proposed method is very similar with the relevant work from the existing literature. Moreover, performance evaluation was performed using the MATLAB software installed on a laptop, as well as on the three embedded-hardware platforms (Arduino Mega2560, Raspberry Pi Pico and XIAO SAMD21). Obtained results showed that the used platforms can perform reliable bioimpedance processing with the same accuracy, while Raspberry Pi Pico is the fastest solution with the smallest energy consumption.

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Bioimpedance Sensors: A Tutorial

Cited by 46 publications

References 215 publications

Fish Detection Using Electrical Impedance Spectroscopy

Fish Detection Using Electrical Impedance Spectroscopy

A fabric-based wearable sensor for continuous monitoring of decubitus ulcer of subjects lying on a bed

A novel method for in-situ extracting bio-impedance model parameters optimized for embedded hardware

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