Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals.
Farideh EbrahimiSeyed Kamaledin SetarehdanJose Ayala-MoyedaHomer NazeranPublished in: Comput. Methods Programs Biomed. (2013)
Keyphrases
- discrete wavelet transform
- empirical mode decomposition
- eeg signals
- heart rate variability
- nonlinear dynamics
- heart rate
- feature vectors
- wavelet domain
- non stationary
- feature extraction
- high frequency
- hilbert transform
- multiresolution
- spectral analysis
- hilbert huang transform
- extracted features
- feature set
- wavelet decomposition
- image fusion
- low frequency
- wavelet coefficients
- wavelet transform
- low level
- rotation invariant
- signal processing
- feature selection
- neural network
- filter bank
- ecg signals
- multi band
- co occurrence
- intrinsic mode functions
- computer vision