Abstract
This contribution deals with identification of bioimpedance spectroscopy parameters for implementation on embedded platforms. The paper’s goal is to present method which is suitable for implementation in microcontrollers or field programmable gate arrays. The paper brings brief description of the state of the art and it reviews an equivalent electrical model and the least squares method as background of the work. In experimental part, the author presenting an experimental setup for data acquisition for electrical model and an identification approach including the implementation details of calculation of inverse matrix. In the result section the comparison between real and identified parameters is presenting and the results are evaluated in terms of accuracy. The proposed method can be considered as precise identification for the particular electrical model. The paper conclusion includes discussion about method accuracy and brief outline for future work.
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Acknowledgement
This research was funded by the European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project, grant number CZ.02.1.01/0.0/0.0/16_019/0000867 within the Operational Programme Research, Development and Education.
This work was supported by the project SP2019/107, “Development of algorithms and systems for control, measurement and safety applications V” of Student Grant System, VSB-TU Ostrava.
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Ozana, S., Prauzek, M., Konecny, J., Kawala-Sterniuk, A. (2021). An Identification of Bioimpedance Spectroscopy Parameters by the Least Squares Method. In: Cortes Tobar, D., Hoang Duy, V., Trong Dao, T. (eds) AETA 2019 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2019. Lecture Notes in Electrical Engineering, vol 685. Springer, Cham. https://doi.org/10.1007/978-3-030-53021-1_21
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DOI: https://doi.org/10.1007/978-3-030-53021-1_21
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