Using ICA Neuroimaging Techniques to Detect Neurological Abnormalities.

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 author has 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. Baseline wander and power line interference were also removed from baseline wander and power line interference from the EEG data. The time taken for ICA and FAST ICA has been compared. Finally, neurological abnormalities were detected abnormalities in brain, using ICA, by detecting spikes and sharp waves in EEG.

EEGLAB, ICA, Artifacts, Whitening, Sphering

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