Real-time EEG signal analysis for microsleep detection: Hyper-Opt-ANN as a key solution

Real-time EEG signal analysis for microsleep detection: Hyper-Opt-ANN as a key solution

Microsleeps are brief lapses in awareness that pose significant risks, particularly in activities requiring continuous attention, such as driving. These episodes are common in sleep-deprived individuals and can lead to catastrophic outcomes. Electroencephalography (EEG) is a promising technique for...

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Bibliographic Details
Main Authors: Hassan, Md Mahmudul, Islam, Md Nahidul, Norizam, Sulaiman, Hossain, Mirza Mahfuj, Mendes, Jorge M.
Format: Article
Language:English
Published: IEEE 2025
Subjects:
QA75 Electronic computers. Computer science
QP Physiology
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/45035/
http://umpir.ump.edu.my/id/eprint/45035/1/Real-time%20EEG%20signal%20analysis%20for%20microsleep%20detection.pdf

Internet

http://umpir.ump.edu.my/id/eprint/45035/
http://umpir.ump.edu.my/id/eprint/45035/1/Real-time%20EEG%20signal%20analysis%20for%20microsleep%20detection.pdf

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