Information processing models for automatic sleep scoring

Author

Principe, Jose C. ; Chang, Tae G. ; Gala, Sunit K. ; Tome, Ana P.

Author_Institution

Dept. of Electr. Eng., Florida Univ., Gainesville, FL, USA

fYear

1989

fDate

9-12 Nov 1989

Firstpage

1804

Abstract

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

Keywords

biology computing; knowledge based systems; modelling; neural nets; 13 to 70 yr; automatic sleep scoring; automaton; information processing models; input tokens; knowledge-based system; man-machine agreement; neural network; normal subjects; theory of evidence; Automata; Electroencephalography; Electromyography; Electrooculography; Information processing; Knowledge based systems; Man machine systems; Neural networks; Signal processing algorithms; Sleep;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in

Conference_Location

Seattle, WA

Type

conf

DOI

10.1109/IEMBS.1989.96466

Filename

96466