Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals.
François B. VialatteAndrzej CichockiGérard DreyfusToshimitsu MushaSergei L. ShishkinRémi GervaisPublished in: ICANN (1) (2005)
Keyphrases
- early detection
- blind source separation
- eeg signals
- early diagnosis
- eeg data
- signal processing
- breast cancer
- independent component analysis
- healthy subjects
- blind separation
- lung cancer
- non stationary
- brain computer interface
- computer aided diagnosis
- negative matrix factorization
- speech recognition
- computer aided
- data sets
- source separation
- liver disease
- extracted features
- support vector machine svm
- image representation
- wavelet transform
- multiscale
- bayesian networks
- image processing