A hybrid brain-machine interface based on EEG and EMG activity for the motor rehabilitation of stroke patients.
Andrea Sarasola-SanzNerea Irastorza-LandaEduardo Lopez-LarrazCarlos BibianFlorian HelmholdDoris BroetzNiels BirbaumerAnder Ramos-MurguialdayPublished in: ICORR (2017)
Keyphrases
- brain activity
- brain signals
- brain computer interface
- spinal cord injury
- motor control
- motor learning
- epileptic seizures
- normal subjects
- visuo motor
- healthy subjects
- eeg signals
- event related
- activities of daily living
- eeg data
- motor imagery
- emg signals
- single trial
- signal processing
- daily living
- neurological disorders
- ischemic stroke
- amyotrophic lateral sclerosis
- healthy controls
- motor skills
- human brain
- functional magnetic resonance imaging
- functional connectivity
- neurodegenerative diseases
- event related potentials
- obstructive sleep apnea
- clinical data
- electrical activity
- evoked potentials
- cortical areas
- position control
- action potentials
- physiological parameters
- cognitive states
- traumatic brain injury
- sensory motor
- medical practice
- mild cognitive impairment
- normal controls