Phase-synchrony evaluation of EEG signals for Multiple Sclerosis diagnosis based on bivariate empirical mode decomposition during a visual task.
Khadijeh RaeisiMaryam MohebbiMohammad KhazaeiMasoud SerajiAli YoonessiPublished in: Comput. Biol. Medicine (2020)
Keyphrases
- eeg signals
- empirical mode decomposition
- multiple sclerosis
- signal processing
- non stationary
- healthy subjects
- brain activity
- brain computer interface
- hilbert transform
- mr images
- multi band
- magnetic resonance images
- magnetic resonance
- visual information
- brain mri
- eeg data
- corpus callosum
- intrinsic mode functions
- instantaneous frequency
- hilbert huang transform