ECG arrhythmia classification using artificial intelligence and nonlinear and nonstationary decomposition.
Fakheraldin Y. O. AbdallaLongwen WuHikmat UllahGuanghui RenAlam NoorYaqin ZhaoPublished in: Signal Image Video Process. (2019)
Keyphrases
- non stationary
- artificial intelligence
- ecg signals
- beat classification
- heart rate variability
- adaptive algorithms
- classification accuracy
- machine learning
- mit bih arrhythmia database
- random fields
- classification algorithm
- blind source separation
- biomedical signals
- support vector machine svm
- support vector machine
- feature extraction
- feature selection
- concept drift
- stock price
- speech signal
- support vector
- heart rate
- multiscale
- fractional brownian motion
- decision trees