Classification of Aortic Stenosis Using Time-Frequency Features From Chest Cardio-Mechanical Signals.
Chenxi YangNicole D. AranoffPhilip GreenNegar TavassolianPublished in: IEEE Trans. Biomed. Eng. (2020)
Keyphrases
- classification accuracy
- feature vectors
- feature extraction
- eeg signals
- feature set
- feature space
- classification method
- classification models
- extracted features
- classification process
- signal processing
- support vector
- svm classifier
- signal analysis
- image classification
- class labels
- support vector machine
- pattern recognition
- acoustic signals
- machine learning
- decision trees
- support vector machine svm
- benchmark datasets
- patient specific
- frequency domain
- classification algorithm
- image features
- training set
- automatic segmentation
- feature subset
- text classification
- supervised learning
- feature values
- spectral features
- hilbert transform
- short time fourier transform