Model Study Of Biological Tissue Impedance Based On Irreversible Electroporation

Tumors have seriously threatened human health,and its threat to humans is still increasing.From the "China Cancer Report" in recent years,we can see that there are5,000 newly-occurring cancer patients every 12 hours.More intuitively,nearly 10 people are newly diagnosed patients every minute.Cancer not only has a high number of episodes,but traditional treatments often cause greater damage to the patient's body and mind.Under this trend,the method of electroporation for treating tumors has begun to make some progress.In this paper,the experimental data of irreversible electroporation is trained by iterative algorithm,the fitting curve is obtained in MATLAB,the model of bioelectrical impedance is obtained by curve and studied,and the change of tumor impedance slope and irreversible electroporation are calculated.Relationship.When fitting irreversible electroporation data,the main method is to study the bioelectrical impedance model with the least squares BP algorithm,and actively promote the physical ablation method of electroporation for tumor treatment.In this paper,the experimental data of irreversible electroporation is trained by iterative algorithm,the fitting curve is obtained in MATLAB,the model of bioelectrical impedance is obtained by curve and studied,and the change of tumor impedance slope and irreversible electroporation are calculated.Relationship.When fitting irreversible electroporation data,the main method is to study the bioelectrical impedance model with the least squares BP algorithm,and actively promote the physical ablation method of electroporation for tumor treatment.The experimental results show that in the case of irreversible electroporation,the impedance decreases within a certain slope range,and the slope of the impedance decreases by-0.091 and is calculated by an algorithm.In the case of reversible electroporation,the electrical resistance profile of the tumor tissue shows a horizontal tendency.The impedance slope of the tumor tissue is substantially constant or decreases,and the impedance slope of the tumor tissue is between-0.019 and-0.007.The neuralnetwork bp algorithm is used to fit the resistance,with voltage and current as input,resistance as output,56010 data set as training data,1000 data as test data,prediction data obtained by BP algorithm and actual test data.Drawing,and fitting the irreversible electroporation experimental data,found that when the number of neurons in the first layer is 30,the second is 10,and the number of iterations is 100,the error of the fitting is 4.95%.3000 sets of data as test data,the number of neurons in the first layer is 30,the second layer is 10,and the number of iterations is 100,the error of the fit is 5.0%.