Diagnosis of mild Alzheimer's disease by EEG and ERP signals using linear and nonlinear classifiers.
Elias Mazrooei RadMahdi AzarnooshMajid GhoshuniMohammad Mahdi KhalilzadehPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- event related potentials
- eeg signals
- early diagnosis
- healthy subjects
- optic nerve
- signal processing
- disease diagnosis
- extracted features
- physiological signals
- early stage
- brain computer interface
- computer aided
- eeg data
- computer aided diagnosis
- diagnostic process
- diagnostic tool
- medical doctors
- training data
- single trial
- clinically relevant
- decision trees
- support vector
- cardiovascular disease
- signal acquisition
- brain activity
- naive bayes
- feature set
- obstructive sleep apnea
- early detection
- fault diagnosis
- brain signals
- phase locked
- information systems
- motor imagery
- model based diagnosis
- independent component analysis
- training set
- enterprise resource planning
- event related
- electrical activity
- fault detection
- medical diagnosis
- frequency ranges
- feature selection
- single channel
- blind source separation
- liver disease
- feature extraction