Literature Survey about Brainwave Test

The EEG (Electroencephalogram) is a representative signal containing information about the condition of the brain. The shape of the wave may contain useful information about the state of the brain. In recent years, brain computer interface and intelligent signal segmentation have attracted a great interest ranging from medicine to military objectives. To facilitate brain-computer interface assembly, a professional method of feature extraction from EEG signal is desired. The brain electrical activity is represented by the electroencephalogram (EEG) signals. This paper presents a short review of mathematical methods for extracting features from EEG signals. The review considers different methods such as FFT,WT,CWT and DWT for EEG signal extracting . The adopted approach is such that a full literature review is introduced for the different techniques, summarizing their strengths and weaknesses. The purposes of this paper, therefore, shall be discussing some conventional methods of EEG feature extraction methods, comparing their performances for specific task, and finally, recommending the most suitable method for feature extraction based on performance.

Keywords— ERP, EEG, fMRI,EEG- fMRI integration , EEG classification, EEG diseases.