Algorithm for automatic detection of pentylenetetrazole-induced seizures in rats
Document Type
Conference Proceeding
Date of Original Version
12-26-2011
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. © 2011 IEEE.
Publication Title, e.g., Journal
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Citation/Publisher Attribution
Besio, W. G., X. Liu, Y. Liu, Y. L. Sun, A. V. Medvedev, and K. Koka. "Algorithm for automatic detection of pentylenetetrazole-induced seizures in rats." Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2011): 8283-8286. doi: 10.1109/IEMBS.2011.6092042.