Predicting Neurological Outcomes of Comatose Cardiac Arrest Patients Using Transformer Neural Networks with EEG Data.
Jefferson DionisioChe LinLian-Yu LinWen-Chau WuPublished in: CinC (2023)
Keyphrases
- acute coronary syndrome
- eeg data
- neural network
- patient data
- normal subjects
- single trial
- brain computer interface
- brain activity
- independent component analysis
- fuzzy logic
- fault diagnosis
- cardiac surgery
- heart disease
- motor imagery
- mild cognitive impairment
- clinical data
- myocardial infarction
- eeg signals
- cardiovascular disease
- blind source separation
- post operative
- medical data
- high degree of accuracy
- spatial filters
- left ventricle
- healthy volunteers
- pattern recognition
- brain signals
- clinical trials
- patient specific
- medical images
- feature extraction
- image processing