An Expert System for pre-Diagnostics Screening using Neurofeedback Signals

Policy-based computing is one of the software and knowledge engineering methods (along with Artificial Neural Networks, Fuzzy Logic, etc.) that allows incorporating a specified expert knowledge into various kind of decision making processes. In this paper a preliminary study is undertaken in order to determine applicability of this technology supported by selected trend analysis methods for the problem of pre-diagnostics patients screening based on bio-feedback signal(s). For this purpose an architecture for an automated pre-diagnostics screening system is presented together with methodology that would allow early detection of functional brain impairments, for example issues related to learning processes. Selected preliminary test results are included in order to provide assessment of the proposed methodology and its functional place in the whole system.