DETECTION OF ABNORMALITIES IN BRAIN USING ICA NEUROIMAGING METHODS

摘要

EEG (Electroencephalogram) measures electrical potentials on the scalp surface that occur as a result of dynamic brain function. This paper presents the method to extract EEG Data and various methods used to perform EEG Neuroanalysis, and why the authors have chosen to work on ICA method. EEG data is collected by placing sensors on a person's scalp at different positions, amplifying data by 100db, digitizing it with a sampling rate of 256HZ and using BLUETOOTH Technology to wirelessly transmit it to the computer. EEGLAB, a C library and tool integrated in MATLAB, has been described. The methodology used to obtain the EEG datasets and implement both ICA methods on the data has been presented. The authors have also worked on removing baseline wander and powerline interference from the EEG data. The time taken for ICA and FAST ICA has been compared. Finally, the authors have worked to detect abnormalities in brain, using ICA, by detecting spikes and sharp waves in EEG.