Classification of upper limb impairment in acute stroke patients using resting-state EEG markers and machine learning.
Michael LassiAndrea BandiniVincenzo SpinaValentina AzzolliniStefania DaliseAlberto MazzoniCarmelo ChisariSilvestro MiceraPublished in: NER (2023)
Keyphrases
- machine learning
- resting state
- brain activity
- decision trees
- eeg signals
- pattern recognition
- healthy subjects
- functional connectivity
- single trial
- ischemic stroke
- support vector machine
- feature selection
- sleep stage
- classification accuracy
- normal controls
- feature vectors
- feature space
- feature extraction
- eeg data
- event related
- data mining
- fully automatic
- brain computer interface
- data analysis
- image processing