Fuzzy Ordination of Breast Tissue with Electrical Impedance Spectroscopy Measurements

Electrical impedance spectroscopy (EIS) is a useful technique which requires minimum invasion into body employed for the characterization of living tissues with the facility and low cost. EIS techniques assist diagnosis, in a different way, by providing information regarding the electrical conductivity and permittivity properties of the patient's cells and tissues. Measuring the bio-impedance of the tissues, allows scientists to take into consideration the capacitive characteristics of the tissues along with their resistive characteristics. So by effectively measuring electrical impedances through body tissues, cancerous tissues can be differentiated and diagnosed. In this study, breast tissues obtained from 106 patients have been classified via fuzzy logic according to the data accumulation in the EIS device. The device gives 9 different impedance features for each patient which are then reduced to 6 classes. These classes are; glandular tissue, connective tissue, adipose, mastopathy, fibro-adenoma and carcinoma. The aim of this study is to design a fuzzy system to classify breast tissues with EIS test results.