The correlation dimension as an index to differentiate between vigilance states

Author

Palmer, N.G.M. ; Ning, Taikang ; Bronzino, Joseph D.

Author_Institution

Hartford Graduate Center, CT, USA

fYear

1994

fDate

1994

Firstpage

1128

Abstract

Electrical signals from 90 day old Sprague-Dawley rats were recorded from two regions of the hippocampal formation during four vigilance states. Using these signals the correlation dimension was calculated using the Grassberger-Procaccia algorithm to assess whether this approach is effective in differentiating between the vigilance states. Plots of correlation dimension vs. increased embedding dimension showed that REM and non-REM vigilance states have distinct and different characteristics; and with higher embedding dimension it is possible to differentiate between REM and non-REM vigilance states

Keywords

electroencephalography; Grassberger-Procaccia algorithm; REM state; Sprague-Dawley rats; correlation dimension; embedding dimension; hippocampal formation; nonREM state; rat brain electrical signals; vigilance states differentiation index; Autocorrelation; Chaos; Computer science; Delay effects; Educational institutions; Electroencephalography; Gain measurement; Nonlinear systems; Rats; Sleep;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.415357

Filename

415357