Real-Time EOG Filtering for Control of an Ocular ProsthesisBy Card, Cheryl L.; Cook, Albert M.; Meng, Max Q. H.; Proceedings of the RESNA 25th International Conference, Vol. 22, No. 1, pp. 5-7
Publication Date: June/July 2002
Paper discusses real-time techniques for processing an electrooculogram (EOG) to obtain eye movement data with the least amount of signal lag and distortion. The EOG detects the position of the natural eye and drives the prosthetic eye to follow the movements of the natural eye. Filters for reducing the noise in the EOG are compared, and a Hanning Finite Impulse Response Filter was found to provide the least amount of signal distortion.
Published by: Rehabilitation Engineering & Assistive Technology Society of North America (RESNA) (Website:http://www.resna.org)
This publication is included in the library of the National Rehabilitation Information Center (NARIC), accession number O14461