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

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...

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Bibliographic Details
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/
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
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http://umpir.ump.edu.my/id/eprint/14721/
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

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