The Role of Brain Signal Processing and Neuronal Modelling in Epilepsy – A Review

Epilepsy is a neurological disorder characterized by recurrent seizures due to spontaneous changes of chemical synaptic coupling within the central nervous system. Numerous studies have been done in order increase level cognition epilepsy. Electroencephalography (EEG) as non-invasive technique with ability presenting potentials on head surface neural activity widely used epilepsy studies. The signals analyzed brain signal processing techniques which mainly are categorized feature extraction, dimensionally reduction and classification. limitations such inapproachability intracranial vivo few seizure occurrences during sampling led investigate model activity. This paper reviews fundamentals toward using neuronal modeling three major branches; detection, prediction source localization. It resulted rare number investigations lack long-term EEG recording ending seizure. Subsequently, this review suggests consider sub-branches detection; status, type, markers localization, whilst it plays remarkable role targeting localization modeling.