Towards Domain-free Transformer for Generalized EEG Pre-training
Electroencephalography (EEG) signals are the brain signals acquired using the non-
invasive approach. Owing to the high portability and practicality, EEG signals have found …
invasive approach. Owing to the high portability and practicality, EEG signals have found …
Employing a Convolutional Neural Network to Classify Sleep Stages from EEG Signals Using Feature Reduction Techniques
MR Mohammed, AM Sagheer - Algorithms, 2024 - mdpi.com
One of the most essential components of human life is sleep. One of the first steps in spotting
abnormalities connected to sleep is classifying sleep stages. Based on the kind and …
abnormalities connected to sleep is classifying sleep stages. Based on the kind and …
Automatic Sleep Stage Classification Based on Deep Learning for Multi-channel Signals
Y Huh, R Kim, JH Koo, YK Kim… - … Winter Conference on …, 2024 - ieeexplore.ieee.org
Sleep plays a crucial role in restoring physical and mental health, making it essential to
monitor sleep patterns objectively. Polysomnography is a standard method used to classify …
monitor sleep patterns objectively. Polysomnography is a standard method used to classify …