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