Machine Learning-Based Prediction of Changes in Behavioral Outcomes Using Functional Connectivity and Clinical Measures in Brain-Computer Interface Stroke Rehabilitation.
Rosaleena MohantyAnita SinhaAlexander RemsikJanerra AllenVeena A. NairKristin CalderaJustin SattinDorothy EdwardsJustin C. WilliamsVivek PrabhakaranPublished in: HCI (14) (2017)
Keyphrases
- brain computer interface
- machine learning
- functional connectivity
- spinal cord injury
- motor learning
- motor imagery
- signal processing
- event related
- eeg signals
- healthy subjects
- eeg data
- brain activity
- pattern recognition
- evoked potentials
- brain signals
- multi channel
- event related potentials
- clinical trials
- correlation analysis
- feature selection