• Mr. V. Nageshwar
• Mr. P. Prashanth Reddy
• Dr. Y. Padma sai
• Gopathi shobha

About 10 million people with epilepsy are there in India. Many people with active epilepsy do not receive appropriate treatment for their condition, Prior to treatment of seizure, its detection itself has been one of toughest tasks over decades this is because of its uncertainty. It takes one to either be a technician or an experienced doctor to analyse the EEG and say whether seizure exists or not. So we aim at providing an easily understandable tool to analyse the EEG signal especially to detect Seizure. Accurate automatic spike detection is highly beneficial to clinical assessment of epileptic electroencephalogram (EEG) data. In this paper, a new three stage approach is proposed for elliptical spike detection. The project aims at the detection of seizures in EEG signal using Spike detection analysis.The real time EEG signal is been acquired from the Data set is processed and simulated to detect Seizure in the respective samples. Hence with the help of LabVIEW, a graphical programming language, a code based on algorithm namely spike detection method to detect seizure. This requires a minimal technical knowledge unlike orthodox way of analysing EEG.

LabVIEW, epilepsy; slow wave, spike detection, spike classification, nonlinear energy operator.

"Model based Spike detection Of Epileptic EEG data by using LabVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.300-305, December-2017, Available :http://www.jetir.org/papers/JETIR1712057.pdf

"Model based Spike detection Of Epileptic EEG data by using LabVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp300-305, December-2017, Available at : http://www.jetir.org/papers/JETIR1712057.pdf