Epileptic seizure detection by analyzing EEG signals using different transformation techniques

The human brain processes sensory information received by external/internal stimuli. Human brain is an organic electrochemical computer as neurons exploit chemical reaction to generate electricity [1]. Electroencephalogram (EEG) is a graphical record of ongoing electrical activity, which measures the changes of the electrical activity in term of voltage fluctuations of the brain through multiple electrodes place on the brain [2]. In the clinical contexts, the main diagnosis of EEG is to discover abnormalities of brain activities referred to the epileptic seizure. A seizure occurs when the neurons generate uncoordinated electrical discharges that spread throughout the brain and epilepsy is a recurrent seizure disorder caused by abnormal electrical discharges from brain cells, often in the cerebral cortex [3]. Another clinical use of EEG is in diagnosis of coma, brain death, encephalopathies, and sleep disorder, etc. Moreover, EEG can be used in many applications such as emotion recognition [4], video quality assessment [5], alcoholic consumption measurement [6], sleep stage detection [7], change the brainwaves by smoking [8], and mobile phone usages [9], etc.