Information processing models for automatic sleep scoring
Three different methods of information processing are described (a knowledge-based system, an automaton based on the theory of evidence, and a neural network). Their performance is compared and analyzed. One factor that is discussed is the degradation of the man-machine agreement, which is very high in the input tokens, and only high in the final result. The man-machine agreement for five sleep records, from normal subjects spanning the ages from 13 to 70 years, is shown. The records were chosen because they represent the normal sleep patterns of each age group. The token data and the human scoring are the same for all cases, so that the relative performance of the methods can be compared.<<ETX>>