• Shruti Bijawat

Our brain is the most important organ of our body; it controls all the parameters of life through its neuro physiological co-ordination. The functioning of a normal brain can be measured by using EEG signals. Electroencephalography (EEG) is an efficient tool for monitoring the activities of brain which is further important for identifying epileptic seizure. This work presents a rigorous review about brain, epilepsy, EEG, various features which can be extracted from EEG like PCA, wavelet transform, and other statistical features. The study also discuss about various machine learning algorithms like random forest, SVM, k-NN and Naive Bayes algorithm which couldused for classification purpose of epileptic seizures.

Epilepsy, electroencephalography (EEG), feature extraction, classification algorithms, machine learning.

"Epilepsy prediction and classification using expert systems: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.531-536, June 2019, Available :http://www.jetir.org/papers/JETIR1907379.pdf

"Epilepsy prediction and classification using expert systems: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp531-536, June 2019, Available at : http://www.jetir.org/papers/JETIR1907379.pdf