Learning the Syntax and Semantic Rules of an ECG Grammar

In this paper a learning system is presented that is able to learn both the syntax (from an over-generalized grammar) and semantic rules (containing threshold values and relations) of an ECG grammar. These rules are used to direct the classification of QRS complexes and to distinquish between QRS and non-QRS patterns. The system demonstrates how a theory revision method can be used to refine large Prolog programs. 1