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Patterns of Attractor Dimensions of Sleep EEG

Pradhan, N and Sadasivan, PK and Chatterji, S and Dutt, Narayana D (1995) Patterns of Attractor Dimensions of Sleep EEG. In: Computers in Biology and Medicine, 25 (5). pp. 455-462.

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Low dimensional chaos is a property of many physiological oscillatory systems including the brain. Time series of sleep EEG records have been analyzed in the framework of recent developments in nonlinear dynamics. One of the characteristics of a chaotic time series is its attractor dimension. The running attractor dimension of a chaotic time series may reflect changes in states more accurately than manually scored records. In the present study the attractor dimensions of consecutive EEG segments of five sleep records were analyzed. The block of the EEG segment (window) was shifted by various lengths along the entire sleep data of each subject thus producing a running attractor dimension curve for each record. The attractor dimension values for different sleep stages were significantly different. The pattern of the running attractor dimension closely matched the scored hypnograms in these five sleep records.

Item Type: Journal Article
Publication: Computers in Biology and Medicine
Publisher: Elsevier
Additional Information: Copyright belongs to Elsevier.
Keywords: EEG; Sleep stages;Hypnogram;Nonlinear dynamics;Chaos;Attractor dimension;Running attractor dimension.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 13 Jun 2008
Last Modified: 19 Sep 2010 04:45
URI: http://eprints.iisc.ac.in/id/eprint/14326

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