title: Algorithm for automatic detection of pentylenetetrazole-induced seizures in rats.
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.
authors.affiliation: ECBE Dept of the University of Rhode Island, Kingston, RI 02881, USA. besio@ ele.uri.edu
authors.forename: W G
authors.initials: WG
authors.lastname: Besio
authors.forename: X
authors.initials: X
authors.lastname: Liu
authors.forename: Y
authors.initials: Y
authors.lastname: Liu
authors.forename: Y L
authors.initials: YL
authors.lastname: Sun
authors.forename: A V
authors.initials: AV
authors.lastname: Medvedev
authors.forename: K
authors.initials: K
authors.lastname: Koka
mesh_terms: D000465:Algorithms; D000818:Animals; D001331:Automation; D004558:Electric Stimulation; D008297:Male; D010433:Pentylenetetrazole; D051381:Rats; D017207:Rats, Sprague-Dawley; D012640:Seizures / Q000139:chemically induced / Q000175:diagnosis*; D012815:Signal Processing, Computer-Assisted
chemical_list: D010433:Pentylenetetrazole