DocumentCode :
2980359
Title :
A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application
Author :
Chen, Mo ; Sommer, David ; Goh, Su Lee ; Gautama, Temujin ; Obradovic, Dragan ; Golz, Martin ; Morrell, Mary ; Wang, Hui ; Mandic, Danilo
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. London
fYear :
2006
fDate :
Sept. 2006
Firstpage :
474
Lastpage :
478
Abstract :
A framework for automated scoring of sleep stages during afternoon naps of healthy humans is introduced. This is achieved by sequential fusion of nonlinear features extracted from three physiological channels: the electroencephalogram (EEG), electrooculogram (EOG) and respiratory trace (RES). These features are generated by means of the recently introduced "delay vector variance" (DVV) method which examines local predictability of a signal in phase space. The analysis is accompanied by a set of comprehensive simulations, supporting the approach
Keywords :
electro-oculography; electroencephalography; feature extraction; medical signal processing; psychology; sensor fusion; sleep; afternoon naps; delay vector variance; electroencephalogram; electrooculogram; healthy humans; nonlinear features extraction; respiratory trace; sequential fusion; sleep psychology application; sleep stages automated scoring; Brain modeling; Delay; Electroencephalography; Electrooculography; Feature extraction; Fusion power generation; Humans; Psychology; Signal generators; Sleep;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 2006 IEEE International Conference on
Conference_Location :
Heidelberg
Print_ISBN :
1-4244-0566-1
Electronic_ISBN :
1-4244-0567-X
Type :
conf
DOI :
10.1109/MFI.2006.265602
Filename :
4042019
Link To Document :
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