Addressing imbalanced EEG data for improved microsleep detection: An ADASYN, FFT and LDA-based approach

Microsleep, brief lapses in consciousness lasting less than 15 seconds, are often accompanied by feelings of fatigue and are detectable through a deceleration in electroencephalogram (EEG) signal frequencies. Accurate identification of microsleep is critical for assessing driver alertness and preven...

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Bibliographic Details
Main Authors: Hasan, Md Mahmudul, Khandaker, Sayma, Norizam, Sulaiman, Hossain, Mirza Mahfuj, Islam, Ashraful
Format: Article
Language:English
Published: University of Diyala 2024
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/43891/
http://umpir.ump.edu.my/id/eprint/43891/1/Addressing%20Imbalanced%20EEG%20Data%20for%20Improved%20Microsleep%20Detection.pdf