Abstract
Haematocrit are recorded during artificial dialysis resulting in remarkable changes in the blood conductivity that can reach up to 20%. Traditional methods for HCT-measurement like centrifugation or photometry are well known and precise. The drawback of the first method is the need for extracting a blood sample out of the closed loop system, which takes time and increases the cost. The latter method requires an optical window to access the blood and therefore it does require an additional precision fabricated disposable component. In order to eliminate the disadvantages of the mentioned HCT- measurement methods a new approach for blood bioimpedance modeling is presented.
The principles of functional identification of electrical impedance of biological tissues are considered. To determine the frequency characteristic of the electrical impedance the method of transient functions is proposed. Transient function of electrical impedance recorded as a response on unit step-current. The frequency characteristic is defined as the Carson—Heaviside transform of the electrical impedance transient function. Functional identification realized by Levy method.
For modeling the component analysis of a biological tissue the electrical impedance frequency characteristic is considered in the state space of parallel RC circuits, where the state variable has the meaning of electrical charge. The modeling of electrical impedance in blood samples with different haematocrit level is carried out. The dependences of the equivalent circuit parameters upon the haematocrit level are obtained. The obtained dependences of the impedance modulus characteristic frequency and the equivalent scheme parameters upon the haematocrit level may be used for the haematocrit level determination in a blood sample.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Grimnes S., Martinsen O. (2000). Bioimpedance and bioelectricity basics. Academic Press, London
Fors H., Gelander L. (2002). Body composition, as assessed by bio impedance spectroscopy and dual-energy X-ray absorptiometry, in a healthy pediatric population. Acta Paediatria 91: 755-760.
Riu P.J., Surkhy O., Bogonez P. (2005). In vivo assessment of haematocrit changes by impedance measurements. IFMBE Proc. Vol. 11(1).
Norman S. (2011). Systems Engineering, International Student Version, 6th Edition, John Wiley & Sons.
Pintelon R., Schoukens J. (2001). System Identification: A Frequency Domain Approach, IEEE Press, New York.
Kalakutskiy L.I., Akulov S.A. (2009). Modeling of the bioimpedance of blood by synthesis of the equivalent circuits. IFMBE Proc. Vol. 25/7: 575-577.
Durbin J., Koopman S. (2001). Time series analysis by state space methods. Oxford University Press, Oxford, UK.
Eykhoff P. (1981). Trends and progress in system identification. Pergamon Press.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Akulov, S.A., Fedotov, A.A., Akulova, A.S., Reshetnikova, M.A. (2017). State space modeling of bioimpedance for haematocrit measurement. In: Goh, J., Lim, C., Leo, H. (eds) The 16th International Conference on Biomedical Engineering. IFMBE Proceedings, vol 61. Springer, Singapore. https://doi.org/10.1007/978-981-10-4220-1_18
Download citation
DOI: https://doi.org/10.1007/978-981-10-4220-1_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4219-5
Online ISBN: 978-981-10-4220-1
eBook Packages: EngineeringEngineering (R0)