Bioimpedance monitoring of dialysis patients during ultrafiltration

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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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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Development of an automated bioimpendance analyzer for monitoring the clinical condition and diagnosis of human body diseases

Antipenko

Pecherskaya

Zinchenko

et al. 2020

J. Phys.: Conf. Ser.

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Bioimpendance analysis allows to identify various pathologies, diagnose diseases in the early stages and determine the tactics of outpatient treatment for patients. It is most widely used in clinical practice. The article presents a structural diagram of the developed automated bioimpedance analyzer. The functional and metrological analysis of the hardware allowed to identify and systematize the causes of the methodological and subjective errors of the measurement results. To reduce the measurement error, a current source circuit, which allows the hardware to reduce leakage currents, is proposed. Bioimpedance measurement using an automated bioimpedance analyzer is performed at a frequency of 100 Hz to 2.5 MHz with a basic relative error of 0.1%.

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Dynamics of frequency dependences of parameters of electric impedance of a person during dry fasting

Шарпан¹,

Mosiychuk²

2017

Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia

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Bioimpedance monitoring of dialysis patients during ultrafiltration

Cited by 3 publications

References 3 publications

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

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

Development of an automated bioimpendance analyzer for monitoring the clinical condition and diagnosis of human body diseases

Dynamics of frequency dependences of parameters of electric impedance of a person during dry fasting

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