Automatic detection of Alzheimer's disease from EEG signals using low-complexity orthogonal wavelet filter banks.
Digambar V. PuriSanjay L. NalbalwarAnil B. NandgaonkarJayanand P. GawandeAbhay WaghPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- automatic detection
- low complexity
- eeg signals
- wavelet filter banks
- filter bank
- directional information
- healthy subjects
- signal processing
- lifting scheme
- subband
- perfect reconstruction
- image coding
- multiresolution
- wavelet transform
- brain computer interface
- motion estimation
- computational complexity
- image compression
- computer aided diagnosis
- infinite impulse response
- brain activity
- multiscale
- pattern recognition
- wavelet filters
- discrete wavelet transform
- eeg data
- bit rate
- image quality
- lossless compression
- wavelet packet
- discrete cosine transform
- feature vectors
- extracted features
- wavelet domain
- computer vision
- high frequency
- wavelet coefficients
- sparse representation
- frequency domain
- feature extraction
- denoising
- image processing