The classification of blinking: an evaluation of significant time-domain features

The classification of blinking: an evaluation of significant time-domain features

Stroke is one of the most widespread causes of disability-adjusted life-years (DALYs). EEG-based Brain-Computer Interface (BCI) system is a potential solution for the patients to help them regain their mobility. The study aims to classify eye blinks through features extracted from time-domain EEG si...

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Bibliographic Details
Main Authors: Kai, Gavin Lim Jiann, Mahendra Kumar, Jothi Letchumy, Rashid, Mamunur, Rabiu Muazu, Musa, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Abdul Majeed, Anwar P. P.
Format: Conference or Workshop Item
Language:English
Published: Springer 2022
Subjects:
QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/33325/
http://umpir.ump.edu.my/id/eprint/33325/1/The%20classification%20of%20blinking-%20an%20evaluation.pdf

Internet

http://umpir.ump.edu.my/id/eprint/33325/
http://umpir.ump.edu.my/id/eprint/33325/1/The%20classification%20of%20blinking-%20an%20evaluation.pdf

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