A compressive sampling approach for brain-machine interfaces based on transcranial Doppler sonography: A case study of resting-state maximal cerebral blood velocity signals.
Ervin SejdicLuis F. ChaparroPublished in: GlobalSIP (2013)
Keyphrases
- resting state
- brain activity
- cerebral blood flow
- functional magnetic resonance imaging
- activation detection
- compressive sampling
- functional connectivity
- signal processing
- compressive sensing
- human brain
- brain imaging
- event related
- brain connectivity
- compressed sensing
- brain computer interface
- eeg signals
- brain regions
- healthy subjects
- high dimensional
- human subjects
- optical flow
- image processing
- eeg data
- motion correction
- image representation
- sparse representation
- correlation analysis
- random projections
- magnetic resonance images
- data analysis
- pattern recognition
- image sequences