Fuzzy rule base construction for Minnesota Code

Abstract

The Minnesota Code is the evaluation method of reference ECG signals. The experimental studies compare the effectiveness of the computer based Minnesota Code applications to human usage of the code system, and the results showed that computers are as effective in the evaluation of ECG signal with the Minnesota Code as humans are with visual analysis. In this paper the authors propose a fuzzy-based approach to bypass known imperfections and imprecision of the existing Minnesota Code rules. The first step for the possible comprehensive fuzzy implementation of the Minnesota Code is the structural building of the fuzzy decision system for one rule group of the Minnesota Code. For this code group an ECG signal has been tested, containing the necessary beat information. The same input signal has been tested with a standard crisp based and fuzzy based solution. The fuzzy environment provides more information for the medical expert or for the further levels of the whole hierarchically organized diagnostic structure.∗