review of intelligent epilepsy detection methods using eeg signal

review of intelligent epilepsy detection methods using eeg signal

epilepsy is one of the most common diseases of the human nervous system, affecting about 50 million people, according to the world health organization. when epileptic seizures occur, people experience unusual symptoms such as loss of consciousness and seizures. given that epilepsy is a neurological disorder in the human system, its behavior can be predicted by recording brain signals and processing them, and identifying people with epilepsy to begin treatment.

the electroencephalogram(eeg) signal is used as one of the human biological signals to record and monitor the behavior of the brain. the method of recording eeg signals is that the electrodes are first installed on the skull according to a predetermined standard, and these electrodes record the behavior of the brain based on the processes taking place. in this paper, first the eeg signal performance is examined and then the existing methods for feature extraction and classification are introduced. finally, the research conducted by researchers in the field of epilepsy diagnosis is discussed. the results show that if the feature is properly extracted and valid classification methods are used, the eeg signal is a highly reliable signal in the diagnosis of epilepsy.