INFORMATION-PROCESSING MODELS FOR SLEEP STAGING

Three different methods of automated sleep staging are described and c ompared in the paper. The interesting aspect of the comparison is that the inputs to the three different information processing models (an e xpert system, a belief automaton, and a neural network) are the output s of the same frontend processor that extracts EEG features. We found out that the level of man-machine agreement is very similar among the systems (around 85%) approaching the level of agreement required among human experts. However, the similarity of performance in such a diver sified set of approaches points out the need for enhancing the accurac y of the first level of analysis (EEG feature extraction).