The invention relates to the technical field of
intelligent control systems, in particular to an
intelligent control system of a tumor
electric field treatment device, which comprises a resistivity acquisition module for measuring tumor
electrical impedance under differentiated frequencies by using a four-
electrode measuring instrument, recording resistivity data changing along with time, enhancing the
signal-to-
noise ratio of signals by using a
differential amplification technology, and acquiring the tumor
electrical impedance by using the resistivity acquisition module; and calibrating the reading of the instrument, and generating a calibrated resistivity parameter set. According to the method, by analyzing the correlation between tumor
electrical impedance and
gene expression data, accurate adjustment of treatment
electric field parameters is achieved, the treatment pertinence and the
treatment effect are improved, the method allows personalized adjustment of a treatment scheme according to specific biomarkers of tumors,
optimal matching of the
electric field parameters and specific tumor characteristics of patients is ensured, and the
treatment effect is improved. The application of clustering analysis realizes fine group division in patients with different tumor types or stages, so that the electric field treatment can be optimized according to specific tumor biological behaviors, and the phenomenon of one-time
cutting possibly occurring in traditional treatment is avoided.