A novel deep learning model based on transformer and cross modality attention for classification of sleep stages
Article in Journal of Biomedical Informatics (July 2024)
The most recent citing publications are shown below. View all 5 publications that cite this research output on Dimensions.
Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network
Article in IEEE Transactions on Neural Systems and Rehabilitation Engineering (July 2024)
Employing a Convolutional Neural Network to Classify Sleep Stages from EEG Signals Using Feature Reduction Techniques
Article in Algorithms (May 2024)