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

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

doi:10.1109/IEMBS.2011.6090708

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

Annu Int Conf IEEE Eng Med Biol Soc. 2011:2011:2562-5. doi: 10.1109/IEMBS.2011.6090708.

Authors

Ahmed F Rabbi¹, Manoj K Jaiswal, Saobo Lei, Reza Fazel-Rezai

Affiliation

¹ Biomedical Signal Processing Laboratory, Department of Electrical Engineering, University of North Dakota, Grand Forks, ND 58202, USA. ahmed.rabbi@und.edu

PMID: 22254864
DOI: 10.1109/IEMBS.2011.6090708

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.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Animals
Disease Models, Animal
Electroencephalography / methods*
Epilepsy / physiopathology*
Rats
Rats, Sprague-Dawley