Variational Mode Decomposition-based Synchronous Multi-Frequency Electrical Impedance Tomography

Authors

  • Qing-Xin Pan College of Information and Electrical Engineering
  • Yang Li College of Information and Electrical Engineering
  • Nan Wang College of Information and Electrical Engineering
  • Peng-Fei Zhao College of Information and Electrical Engineering
  • Lan Huang College of Information and Electrical Engineering
  • Zhong-Yi Wang College of Information and Electrical Engineering

DOI:

https://doi.org/10.5755/j01.itc.51.3.30014

Abstract

Electrical Impedance Tomography (EIT) can perform non-invasive, low-cost, safe, fast, and simple system structure and functional imaging to map the distribution and changes of root zone. Multi frequency EIT solves the problem that single-frequency EIT can only carry more impedance information than a given single excitation frequency. It still remains challenges to simultaneously obtain multi-frequency electrical impedance tomography. To address the problem, a mixed signal superimposed by multiple frequencies is injected to the object. Essentially, separating the measured mixed voltage signals, which can be used to obtain electrical impedance information at different frequencies at the same time quickly. Since the measurement signal is a multi-frequency signal, the effect of decomposing the multi-frequency signal directly affects the accuracy of imaging. In order to obtain more accurate data, this article used the variational mode decomposition (VMD) method to decompose the measured multi-frequency signal. Accurate amplitude and phase information could be obtained simultaneously at the same time in multi-frequency excitation, and these data could be used to reconstruct electrical impedance distribution The results showed that the proposed method can achieve the expected imaging effect. It was concluded that using the variational modal decomposition method to process the data of multi-frequency signals is more accurate and the imaging effect is better, and it can be applied to multi-frequency electrical impedance imaging in practice.

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Published

2022-09-23

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Articles