基于磁感应成像的医学物联网传感节点关键算法研究与实现(英文)

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This paper focuses on the key issues of information processing in the new sensing technology-electromagnetic induction tomography and depth theoretical study and experimental simulation have been conducted.In this study,Labview is used to drive the data acquisition card to control the signal generation and acquisition,and Matlab is used to achieve algorithms such as Fast Fourier Transformation (FFT) algorithm,relevant law algorithm and the classical method algorithm.The simulation results show this software system enables successful digital phase identification and the phase difference resolution of 0.10 can be achieved,which is consistent with theoretical analysis.It can also be seen that software system based on Labview and Matlab is a successful method to identify the phase difference in magnetic induction tomography system,which can meet the measurement needs of sensor nodes,laying the basis for the further development of medical IoT study. This paper focuses on the key issues of information processing in the new sensing technology-electromagnetic induction tomography and depth theoretical study and experimental simulation have been conducted. In this study, Labview is used to drive the data acquisition card to control the signal generation and acquisition , and Matlab is used to achieve algorithms such as Fast Fourier Transformation (FFT) algorithm, relevant law algorithm and the classical method algorithm. The simulation results show this software system enables successful digital phase identification and the phase difference resolution of 0.10 can be achieved, which is consistent with theoretical analysis. It can also be seen that software system based on Labview and Matlab is a successful method to identify the phase difference in magnetic induction tomography system, which can meet the measurement needs of sensor nodes, laying the basis for the further development of medical IoT study.
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