• ASHWINI P
• H K SHREEDHAR
• ABHISHEK GOWDA K
• ABHISHEK

When the brain experiences repeated seizures, epilepsy results. The human brain is harmed by frequent epileptic seizures, which can lead to memory loss, mental illness, and other problems. The electroencephalogram (EEG) test is a significant tool for learning about brain activity and for diagnosing neurological disorders, such as epilepsy. An automated seizure detection approach has been effectively introduced in this study. The investigation uses LSTM, CNN and KNN to analyze the EEG signals from an online database for binary categorization. Seizures are detected using two of the five sets from set A (normal) to set E (abnormal).

EEG signals,deep learning,CCN,LSTM,KNN.

"CLASSIFICATION OF EEG SIGNALS USING DEEP LEARNING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.e432-e437, May-2024, Available :http://www.jetir.org/papers/JETIR2405449.pdf

"CLASSIFICATION OF EEG SIGNALS USING DEEP LEARNING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppe432-e437, May-2024, Available at : http://www.jetir.org/papers/JETIR2405449.pdf