Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

מידע ביבליוגרפי
Main Authors: Tanvir, Farhan, Rahman, Tanjilur, Kamal, S M Arfa, Hassan, Mahmudul, Nazia, Nowshin
מחברים אחרים: Nahim, Nabuat Zaman
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2024
נושאים:
fMRI data
Deep learning
Sleep stage detection
ConvLSTM model
LSTM
EEG data
Signal processing > Digital techniques.
Machine learning.
Electroencephalography.
גישה מקוונת:http://hdl.handle.net/10361/24267

אינטרנט

http://hdl.handle.net/10361/24267

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