Neural networks method for identification of the objects behind the screen.
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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.
Medical subject headings
- Computer Simulation
- Electric Impedance
- Head
- Models, Biological
- Neural Networks, Computer
- Tomography