Distributed Neural Network System for Multimodal Sleep Stage Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3260215
Abstract: Existing automatic sleep stage detection methods predominantly use convolutional neural network classifiers (CNNs) trained on features extracted from single-modality signals such as electroencephalograms (EEG). On the other hand, multimodal approaches propose very complexly stacked network… read more here.
Keywords: neural network; network; sleep stage; stage detection ... See more keywords
Logistic Regression based Feature Selection and Two-Stage Detection for EEG based Motor Imagery Classification
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2021.0228.14
Abstract: Electroencephalogram (EEG) based motor imagery (MI) classification requires efficient feature extraction and consistent accuracy for reliable brain-computer interface (BCI) systems. Achieving consistent accuracy in EEGMI classification is still big challenge according to the nature of… read more here.
Keywords: classification; based motor; eeg based; stage ... See more keywords