Keyphrases
Fusion Approach
100%
Behavior Analysis
100%
Resting-state EEG
100%
Electroencephalography Analysis
100%
Multimodal Fusion
100%
Frequency-based Approach
83%
Thermally Sensitive
66%
Non-sensitive
66%
Power Spectral Density
50%
Sensitive Groups
50%
Support Vector Machine
33%
K-nearest
33%
Brain Networks
33%
Gaussian Classifier
33%
Random Forest Classifier
33%
Quantitative Sensory Testing
33%
Clinical Practice
16%
K-means
16%
Feature Selection
16%
Selected Frequency
16%
Density-based
16%
Healthy Individuals
16%
Classification Task
16%
Group by
16%
Perceptual Evaluation
16%
Pain Management
16%
Power Types
16%
Spectral Frequency
16%
Acceptable Accuracy
16%
Precision Medicine
16%
Classifier Model
16%
Supervised Classification
16%
Leave-one-subject-out
16%
Multi-parameter
16%
Healthy Participants
16%
Inter-electrode
16%
Pain Perception
16%
Connectivity-based
16%
Multimodal Data
16%
Brain Activation Pattern
16%
Pressure Stimulus
16%
Punctate
16%
Clinical Pain
16%
Phenotype Frequencies
16%
Brain Signature
16%
Minimum Redundancy Maximum Relevance (mRMR)
16%
Quantitative Objectives
16%
Neuroscience
Support Vector Machine
100%
Brain Network
100%
Brain Activation
50%
Nociception
50%
Neurophysiology
50%
Quantitative Sensory Testing
50%