DocumentCode :
2479712
Title :
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
Link To Document :
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