Seizure Detection and Classification using different Decomposition Methods and Robust statistical Analysis from EEG Signals

An epileptic seizure is often interpreted by the abnormalities in brain activity and Electroencephalogram (EEG) is a promising tool for the identification of Epileptic seizures. Signal processing and AI strategies are important apparatuses in epilepsy research, conceivably aiding, seizure recognition, forecast, and ongoing occasion discovery during long haul checking. Signal processing methods try to model visual information into a few parameters, thus decision making accurate compared to the method based on visual observation EEG, a source of misinterpretation in disease treatment. In view of the predominance pace of 10 for each 1000 populaces, the quantity of epilepsy patients in Bangladesh is about 1.3 million. The general times of epileptic sufferers in Bangladesh are between 16-31 years. Vast majority of the individuals in Bangladesh has an offbeat conviction about Epilepsy. Around 50 million individuals around the globe have epilepsy, making it one of the most widely recognized neurological ailments all inclusive. Almost 80% of individuals with epilepsy live in low and lower-middle income nations. It is predicted that up to 70% of individuals living with epilepsy could live free of seizure if appropriately analyzed and treated.