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Optimization Of A Hardware/Software Coprocessing Platform For Eeg Eyeblink Detection And Removal, Matthew Alan Chaudhuri
Optimization Of A Hardware/Software Coprocessing Platform For Eeg Eyeblink Detection And Removal, Matthew Alan Chaudhuri
Theses
The feasibility of implementing a real-time system for removing eyeblink artifacts from electroencephalogram (EEG) recordings utilizing a hardware/software coprocessing platform was investigated. A software based wavelet and independent component analysis (ICA) eyeblink detection and removal process was extended to enable variation in its processing parameters. Exploiting the efficiency of hardware and the reconfigurability of software, it was ported to a field programmable gate array (FPGA) development platform which was found to be capable of implementing the revised algorithm, although not in real-time. The implemented hardware and software solution was applied to a collection of both simulated and clinically acquired EEG …