title: Neural networks method for identification of the objects behind the screen.
abstract: The possibilities of identification of intraventricular haemorrhage with the aid of electrical impedance tomography are presented in this paper. On the base of the tomographic image of a human brain (see Fig. 1) a simplified two-dimensional mathematical model of the human head is proposed. The mathematical model is relatively poor, but the main purpose of this paper is to investigate the possibility and precision of the identification procedure. This task is particularly difficult because the object is hidden behind the skull, which becomes a low-conductivity screen when the scalp electrodes are used.
authors.affiliation: Institute of Electrical Engineering and Electrotechnologies, Lublin Technical University, Poland. elarm.eltecol.pol.lubin.pl
authors.forename: Elzbieta
authors.initials: E
authors.lastname: Ratajewicz-Mikolajczak
authors.forename: Jan
authors.initials: J
authors.lastname: Sikora
mesh_terms: D000465:Algorithms; D001921:Brain / Q000503:physiopathology; D003198:Computer Simulation; D017097:Electric Impedance; D004566:Electrodes; D020342:Finite Element Analysis; D006257:Head / Q000503:physiopathology*; D006408:Hematoma, Subdural / Q000175:diagnosis; D006801:Humans; D008954:Models, Biological; D016571:Neural Networks, Computer; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013269:Stochastic Processes; D014054:Tomography / Q000379:methods*