TD-LSTM: a time distributed and deep-learning-based architecture for classification of motor imagery and execution in EEG signals.
Morteza Karimian-kelishadrokhiFaramarz Safi-EsfahaniPublished in: Neural Comput. Appl. (2024)
Keyphrases
- eeg signals
- motor imagery
- deep learning
- brain computer interface
- signal processing
- eeg data
- brain activity
- healthy subjects
- unsupervised learning
- reinforcement learning
- linear discriminant classifier
- machine learning
- gray level
- mental models
- co occurrence
- training set
- feature space
- object recognition
- decision trees
- learning algorithm