Build a bridge between ECG and EEG signals for atrial fibrillation diagnosis using AI methods.
Moqing LiXinhua ZengFeng WuYang ChuWeiguo WeiMin FanChengxin PangXing HuPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- atrial fibrillation
- ai methods
- eeg signals
- ecg signals
- heart rate variability
- artificial intelligence
- extracted features
- signal processing
- analytical methods
- brain computer interface
- heart rate
- spectral analysis
- brain activity
- eeg data
- molecular biology
- feature extraction
- engineering design
- independent component analysis
- medical images
- feature vectors
- neural network