Title :
Attributed grammars in hypnogram analysis
Author :
Fred, Ana L N ; Leitao, M.N.
Author_Institution :
Inst. de Telecommun., Inst. Superior Tecnico, Lisbon, Portugal
Abstract :
The hypnogram is a schematic representation of sleep dynamics as a sequence of stages along the night. The authors have shown, in previous work, the adequacy of syntactic modeling in automatic sleep analysis. According to this approach, the hypnogram is viewed as expression of a language whose temporal organization is described by stochastic context-free grammars. Here, the authors propose a hybrid model combining syntactic and semantic information, where stage duration is taken into account in terms of attributed grammars. This model enables hypnogram simulation, by means of language generation, and provides improvement in classification accuracy. The method is applied in automatic hypnogram analysis of a control group and a population of dysthymic patients
Keywords :
attribute grammars; medical signal processing; pattern classification; physiology; attribute grammars; automatic sleep analysis; dysthymic patients; hypnogram simulation; language generation; schematic representation; semantic information; sleep dynamics; stochastic context-free grammars; syntactic information; syntactic modeling; Automatic control; Context modeling; Electroencephalography; Mars; Production; Psychology; Rhythm; Stochastic processes; Telecommunications;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538455