Automatic detection of heart valve disorders using Teager-Kaiser energy operator, rational-dilation wavelet transform and convolutional neural networks with PCG signals.
Wei ZengBo SuChengzhi YuanYang ChenPublished in: Artif. Intell. Rev. (2023)
Keyphrases
- automatic detection
- wavelet transform
- convolutional neural networks
- empirical mode decomposition
- translation invariant
- wavelet decomposition
- fir filters
- multiresolution
- lifting scheme
- frequency modulation
- convolutional network
- instantaneous frequency
- subband
- multiscale
- mathematical morphology
- wavelet filters
- wavelet domain
- signal processing
- image compression
- non stationary
- binary images
- wavelet packet
- wavelet coefficients
- high frequency
- morphological operators
- automatically detecting
- electrical activity
- soft threshold
- wavelet analysis
- morphological filters
- low frequency
- denoising
- vibration signal
- filter bank
- lymph nodes
- structuring elements
- feature extraction