Fractal Dimension as a discriminative feature for high accuracy classification in motor imagery EEG-based brain-computer interface.
Sadaf MoaveninejadValentina D'OnofrioFranca TecchioFrancesco FerracutiSabrina IarloriAndrea MonteriùCamillo PorcaroPublished in: Comput. Methods Programs Biomed. (2024)
Keyphrases
- motor imagery
- fractal dimension
- eeg signals
- brain computer interface
- fractal analysis
- discriminative features
- eeg data
- texture analysis
- fractal dimensions
- box counting
- signal processing
- texture classification
- healthy subjects
- fractal geometry
- neural network
- image classification
- co occurrence
- multiscale
- feature extraction