Dynamic resistance electrical impedance tomography method based on electrode sampling verification

Abstract

The invention discloses a dynamic resistance electrical impedance tomography method based on electrode sampling verification. The method comprises the steps of sequencing EIT measurement electrodes into a group of all electrodes, a group of odd-number electrodes and a group of even-number electrodes; separately acquiring boundary measuring potential of the three groups of electrodes, and separately calculating boundary potential change of the three groups of electrodes; separately calculating reestablishment results under the three groups of electrode measurement data according to the boundarypotential change of the three groups of electrode, and drawing EIT reestablishment images which separately correspond to the reestablishment results; separately calculating the coefficient of association between the reestablishment results according to the reestablishment results under the measurement data of the three groups of electrodes; and judging the credibility of the reestablishment results and the credibility of the EIT reestablishment images which separately correspond to the three reestablishment results according to the coefficient of association. According to the method, an extraeffective imaging judgment standard is provided for EIT in a measurement environment with noises and interference, and the imaging credibility is improved.

Description

technical field [0001] The invention belongs to the field of electrical impedance tomography (Electrical Impedance Tomography, EIT), in particular to a method for improving the stability and reliability of dynamic EIT imaging, in particular to a dynamic electrical impedance imaging method based on electrode sampling verification. Background technique [0002] In Electrical Impedance Tomography (EIT), 16 electrodes are evenly placed on the body surface of the human body, a safe current is injected into the human body through the electrode pairs according to certain rules, and the remaining electrodes can measure the response potential after excitation. Based on the boundary potential data measured by the electrodes, the data at two moments are selected for difference, and then combined with the corresponding algorithm, the image of the impedance change during this period can be reconstructed, and then the physiological and pathological changes that occur inside the human body ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of improving the stability and reliability of EIT imaging under noise and interference environment, the purpose of the present invention is to provide a dynamic electrical impedance imaging method based on electrode sampling verification to improve the effective imaging standard and judge the effective imaging

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