Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface.
Marie-Constance CorsiMario ChavezDenis SchwartzLaurent HuguevilleAnkit N. KhambhatiDanielle S. BassettFabrizio de Vico FallaniPublished in: Int. J. Neural Syst. (2019)
Keyphrases
- motor imagery
- brain computer interface
- eeg signals
- eeg data
- brain signals
- brain activity
- single trial
- event related
- independent component analysis
- signal processing
- blind source separation
- healthy subjects
- evoked potentials
- pattern recognition
- visuo motor
- spectral features
- spinal cord injury
- image processing
- extracted features
- anisotropic diffusion
- pattern classification
- classification accuracy
- feature extraction
- machine learning