Classification among healthy, mild cognitive impairment and Alzheimer's disease subjects based on wavelet entropy and relative beta and theta power.
Jorge Esteban Santos TouralArquímedes Montoya PedrónEnrique Juan Marañón ReyesPublished in: Pattern Anal. Appl. (2021)
Keyphrases
- mild cognitive impairment
- ad patients
- normal controls
- high degree of accuracy
- brain images
- early diagnosis
- clinical trials
- eeg data
- healthy controls
- brain connectivity
- neurological disorders
- support vector machine
- pattern classification
- preprocessing
- pattern recognition
- computer aided
- wide range
- feature extraction
- magnetic resonance
- white matter
- feature selection
- non stationary
- support vector machine svm
- case based reasoning
- feature vectors
- decision making