Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks.
Wei ZengJian YuanChengzhi YuanQinghui WangFenglin LiuYing WangPublished in: Artif. Intell. Medicine (2020)
Keyphrases
- feature extraction
- wavelet transform
- artificial intelligence
- neural network
- pattern recognition
- pattern classification
- myocardial infarction
- feature vectors
- feature space
- multiresolution
- support vector machine svm
- feature selection
- wavelet coefficients
- feature set
- data sets
- face recognition
- image processing
- subband
- frequency domain
- image segmentation
- multiscale
- sufficient conditions
- optical flow
- computer aided