Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals.
Manish SharmaDivyash KumbhaniJainendra TiwariT. Sudheer KumarU. Rajendra AcharyaPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- automated detection
- filter bank
- obstructive sleep apnea
- signal processing
- compactly supported
- perfect reconstruction
- wavelet packet
- subband
- multiscale
- wavelet filters
- lung cancer
- eeg signals
- spectrum analysis
- lifting scheme
- wavelet bases
- wavelet transform
- wavelet coefficients
- multiresolution
- image coding
- frequency domain
- low pass
- wavelet decomposition
- low frequency
- sleep apnea
- continuous wavelet transform
- automated analysis
- hilbert huang transform
- synthesis filters
- fir filters
- frequency hopping
- wavelet domain
- iir filters
- high frequency
- wavelet basis
- infinite impulse response
- feature extraction
- multiresolution analysis
- discrete cosine transform
- image compression
- short time fourier transform
- dual tree
- image processing
- empirical mode decomposition
- computationally efficient
- wavelet function
- pattern recognition
- feature vectors
- hilbert transform
- denoising
- computational complexity
- building blocks
- discrete wavelet transform
- frequency band