DocumentCode :
3058030
Title :
Use of stochastic grammars for hypnogram analysis
Author :
Fred, Ana L N ; Leitão, Josh M N
Author_Institution :
Centro de Analise e Processamento de Sinais, Inst. Superior Tecnico, Lisboa, Portugal
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
242
Lastpage :
245
Abstract :
The hypnogram is a schematic representation of sleep dynamics as a sequence of stages along the night. In a sense, it is a model of the so called sleep macrostructure. This paper considers the hypnogram as expression of a language whose structure is to be analysed and modeled in terms of stochastic grammars. These are inferred using Crespi-Reghizzi´s method. A parsing algorithm, exploring the particular structure of the inferred grammars, has been developed. Classification strategies for both noisy and non-noisy patterns is also discussed. An example concerning a population of normals and a population of psychiatric (dysthymic) patients is presented
Keywords :
context-free grammars; medical signal processing; patient monitoring; psychology; Crespi-Reghizzi´s method; hypnogram analysis; parsing algorithm; pattern recognition; psychiatric patients; sleep dynamics; sleep macrostructure; stochastic grammars; Context modeling; Drugs; Electroencephalography; Inspection; Microstructure; Morphology; Pathology; Production; Psychology; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
Type :
conf
DOI :
10.1109/ICPR.1992.201764
Filename :
201764
Link To Document :
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