An Identification of Bioimpedance Spectroscopy Parameters by the Least Squares Method

2021 
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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