CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification.
Diego Fabian Collazos-HuertasAndrés Marino Álvarez-MezaCarlos Daniel Acosta-MedinaGermán Castaño DuqueGermán Castellanos-DomínguezPublished in: Brain Informatics (2020)
Keyphrases
- motor imagery
- neural network
- pattern recognition
- pattern classification
- machine learning
- brain computer interface
- classification accuracy
- spatial data
- feature vectors
- image registration
- image classification
- human activities
- training set
- feature extraction
- eeg signals
- cellular neural networks
- brain activity
- eeg data
- decision trees