Algorithm for automatic detection of pentylenetetrazole-induced seizures in rats.
Document Type
Article
Date of Original Version
12-1-2011
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.
Publication Title, e.g., Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Volume
2011
Citation/Publisher Attribution
Besio, Walter G., Xiang Liu, Yuhong Liu, Yan L. Sun, and Andrei V. Medvedev. "Algorithm for automatic detection of pentylenetetrazole-induced seizures in rats.." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2011, (2011): 8283-8286. doi: 10.1109/IEMBS.2011.6092042.