Algorithm for automatic detection of pentylenetetrazole-induced seizures in rats

Document Type

Conference Proceeding

Date of Original Version



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

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS