Abstract
In this paper we presented a new approach for parameter estimation of Fricke-Morse model (2R-1C circuit) of biological cell. Proposed method is based on Differential Impedance Analysis and it was applied in parameter estimation of five electrical bioimpedances: Total Body Composition, Trunk-Trunk, Arm-Arm, Leg-Leg and Respiration Rate. The proposed method has been evaluated regarding the influence of the number of measurement frequencies on the overall numerical accuracy and processing time. Obtained results are compared with Complex Non Linear Least Squares data fitting and it was showed that presented approach is significantly faster (ratio of processing times depends on the number of measurement frequencies). Additional advantage of the proposed method is very low computation complexity (it is not iterative) so it can be easily implemented in portable and autonomous low-cost microcontroller-based systems for bioimpedance measurement and parameter estimation of the Fricke-Morse model in real-time.
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References
H. P. Schwan, “Electrical properties of tissues and cell suspensions: mechanisms and models,” Engineering in Medicine and Biology Society, vol. 1, pp. 70-71, 1994.
H. Fricke, “the electric resistance and capacity of blood for frequencies between 800 and 4(1/2) million cycles,” The Journal of General Physiology, vol. 9, no. 2, pp. 153–167, 1925.
J.-L. Damez, S. Clerjon, S. Abouelkaram, and J. Lepetit, “Dielectric behavior of beef meat in the 1–1500kHz range: Simulation with the Fricke/Cole–Cole model,” Meat Science, vol. 77, no. 4, pp. 512–519, 2007.
B. Sanchez, A. S. Bandarenka, G. Vandersteen, J. Schoukens, and R. Bragos, “Novel approach of processing electrical bioimpedance data using differential impedance analysis,” Medical Engineering & Physics, vol. 35, no. 9, pp. 1349–1357, 2013.
B. Sanchez, E. Louarroudi, E. Jorge, J. Cinca, R. Bragos, and R. Pintelon, “A new measuring and identification approach for time-varying bioimpedance using multisine electrical impedance spectroscopy,” Physiological Measurement, vol. 34, no. 3, pp. 339–357, 2013.
A. Gheorghe, C. Marin, F. Constantinescu, and M. Nitescu, “Parameter identification for a new circuit model aimed to predict body water volume,” Advances in Electrical and Computer Engineering, vol. 12, no. 4, pp. 83–86, 2012.
T. J. Freeborn, “A Survey of Fractional-Order Circuit Models for Biology and Biomedicine,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 3, no. 3, pp. 416-424, 2013.
B. Rigaud, L. Hamzoui, M. R. Frikha, N. Chauveau, and J. P. Morucci, “In vitro tissue characterization and modeling using electrical impedance measurements in the 100 Hz-10 MHz frequency range,” Physiological Measurement, vol. 16, no. 3A, pp. A15–A28, 1995.
S. Kun, B. Ristic and R. A. Peura, “Algorithm for tissue ischemia estimation based on electrical impedance spectroscopy,” IEEE Transactions on Biomedical Engineering, vol. 50, no. 12, pp. 1352–1359, 2003.
P. Van Liedekerke, M. Palm, N. Jagiella, D. Drasdo, “Simulating tissue mechanics with agent-based models: concepts, perspectives and some novel results,” Computational Particle Mechanics, vol. 2. no. 4, pp. 401-444, 2015.
M. Simic, Z. Babic, V. Risojevic, G. M. Stojanovic, “A Novel Non-Iterative Method for Real-Time Parameter Estimation of the Fricke-Morse Model,” Advances in Electrical and Computer Engineering, vol. 16, no. 4, pp. 57–62, 2016.
A. Björck, Numerical methods for least squares problems. Philadelphia, PA: SIAM, Society for Industrial and Applied Mathematics, 1996.
B. A. Boukamp, “Impedance spectroscopy, strength and limitations (Impedanzspektroskopie, Stärken und Grenzen),” tm - Technisches Messen, vol. 71, no. 9-2004, pp. 454–459, 2004.
D. Vladikova, “Selectivity study of the differential impedance analysis—comparison with the complex non-linear least-squares method,” Electrochimica Acta, vol. 47, no. 18, pp. 2943–2951, 2002.
D. Vladikova, J. A. Kilner, S. J. Skinner, G. Raikova, and Z. Stoynov, “Differential impedance analysis of single crystal and polycrystalline yttria stabilized zirconia,” Electrochimica Acta, vol. 51, no. 8-9, pp. 1611–1621, 2006.
D. Vladikova and Z. Stoynov, “Secondary differential impedance analysis – a tool for recognition of CPE behavior,” Journal of Electroanalytical Chemistry, vol. 572, no. 2, pp. 377–387, 2004.
M. Simic, Z. Babic, V. Risojevic, G. Stojanovic, and A. Ramos, “System for Rapid and Automated Bioimpedance Measurement,” in Proceedings of the Society for Design and Process Science Conference, Dallas, Texas, USA, pp. 242-247, 2015.
J. Ferreira, F. Seoane, A. Ansede, and R. Bragos, “AD5933-based spectrometer for electrical bioimpedance applications,” Journal of Physics: Conference Series, vol. 224, p. 012011, 2010.
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Simić, M., Babić, Z., Risojević, V., Stojanović, G. (2017). A novel approach for parameter estimation of Fricke-Morse model using Differential Impedance Analysis. In: Badnjevic, A. (eds) CMBEBIH 2017. IFMBE Proceedings, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-10-4166-2_75
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DOI: https://doi.org/10.1007/978-981-10-4166-2_75
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