A deep learning approach to cardiovascular disease classification using empirical mode decomposition for ECG feature extraction.
Ya LiJing-Hao LuoQing-Yun DaiJason K. EshraghianBingo Wing-Kuen LingCiyan ZhengXiao-Li WangPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- feature extraction
- deep learning
- empirical mode decomposition
- hilbert huang transform
- unsupervised learning
- image classification
- feature vectors
- pattern recognition
- machine learning
- feature selection
- feature space
- support vector machine svm
- classification accuracy
- supervised learning
- dimensionality reduction
- cardiovascular disease
- image processing
- extracted features
- non stationary
- eeg signals
- text classification
- classification method
- support vector machine
- svm classification
- computer vision
- data mining
- weakly supervised
- risk factors
- clustering algorithm
- multi class
- active learning
- decision trees