Use of attributed grammars for pattern recognition of evoked potentials

A pattern recognition system for classifying brain-stem auditory evoked potential is described. A string of terminal symbols, as a formal representation of the evoked potential waveform, is processed by a regular attributed grammar. Its semantic functions return a list of numeric features that can be processed by a simple statistical classifier. Implementation of attributed grammars is discussed.<
>