Changes in dynamical characteristics of epileptic EEG in rats using recurrence quantification analysis

Author

Rabbi, Ahmed F. ; Jaiswal, Manoj K. ; Lei, Saobo ; Fazel-Rezai, Reza

Author_Institution

Dept. of Electr. Eng., Univ. of North Dakota, Grand Forks, ND, USA

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

2562

Lastpage

2565

Abstract

In this paper, we used Recurrence Quantification Analysis (RQA) in order to study pre-epileptic characteristics in rat´s EEG recordings. Four adult rats were used to collect epileptic EEG data in an experiment of animal model of epilepsy. Three RQA measures, recurrence rate, determinism, and entropy were calculated from EEG recordings from rats. A moving average filter was used to identify the decreasing trend in pre-epileptic dynamics which will be useful early detection of seizures.

Keywords

brain models; diseases; electroencephalography; moving average processes; animal model; electroencephalogram; epileptic EEG recordings; moving average filter; preepileptic dynamics; recurrence quantification analysis; seizure detection; Correlation; Electroencephalography; Entropy; Epilepsy; Rats; Animals; Disease Models, Animal; Electroencephalography; Epilepsy; Rats; Rats, Sprague-Dawley;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6090708

Filename

6090708