Algorithm for automatic detection of pentylenetetrazole-induced seizures in rats

Author

Besio, W.G. ; Liu, X. ; Liu, Y. ; Sun, Y.L. ; Medvedev, A.V. ; Koka, K.

Author_Institution

ECBE Dept., Univ. of Rhode Island, Kingston, RI, USA

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

8283

Lastpage

8286

Abstract

Epilepsy affects approximately one percent of the world population. Antiepileptic drugs are ineffective in approximately 30% of patients and have side effects. We are developing a noninvasive, or minimally invasive, transcranial focal electrical stimulation (TFS) system through our novel concentric ring electrodes to control seizures. Here we report on the development of a seizure detecting algorithm to be used for automatic application of TFS. A cumulative sum (CUSUM) algorithm was evaluated that detected the electrographic seizure activity in all experiments well in advance of the behavioral seizure activity.

Keywords

bioelectric potentials; biomedical electrodes; brain; drugs; medical disorders; patient diagnosis; antiepileptic drug; automatic detection; behavioral seizure activity; concentric ring electrode; cumulative sum algorithm; drug side effect; electrographic seizure activity; epilepsy; pentylenetetrazole induced seizure; seizure control; seizure detecting algorithm; transcranial focal electrical stimulation system; Detectors; Electrical stimulation; Electrodes; Electroencephalography; Epilepsy; Neodymium; Rats; Algorithms; Animals; Automation; Electric Stimulation; Male; Pentylenetetrazole; Rats; Rats, Sprague-Dawley; Seizures; Signal Processing, Computer-Assisted;

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.2011.6092042

Filename

6092042