Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network

• Main Authors: Asrul, Adam, Zuwairie, Ibrahim, Mohd Ibrahim, Shapiai, Marizan, Mubin
• Format: Article
• Language: English; English
• Published: Czech Technical University, Prague 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/14721/1/Evaluation%20Of%20Different%20Peak%20Models%20Of%20Eye%20Blink%20Eeg%20For%20Signal%20Peak%20Detection%20Using%20Artificial%20Neural%20Network.pdf; http://umpir.ump.edu.my/id/eprint/14721/7/fkee-2016-zuwairie-Evaluation%20Of%20Different%20Peak%20Models%20Of%20Eye%20Blink%20Eeg.pdf; http://umpir.ump.edu.my/id/eprint/14721/; http://dx.doi.org/10.14311/nnw.2016.26.004

There is a growing interest of research being conducted on detecting eye blink to assist physically impaired people for verbal communication and controlling devices using electroencephalogram (EEG) signal. One particular eye blink can be determined from use of peak points. Therefore, the purpose of...