Phase-synchrony evaluation of EEG signals for Multiple Sclerosis diagnosis based on bivariate empirical mode decomposition during a visual task - Raeisi, Khadijeh; Mohebbi, Maryam; Khazaei, Mohammad; Seraji, Masoud; Yoonessi, Ali (Computers in biology and medicine, 2020)
Keywords: Algorithms; Automation; Bivariate analysis; Bivariate empirical mode decomposition; Brain; Brain research; Diagnosis; EEG; Electroencephalography; Evaluation; Fractals; Hilbert transformation; K-nearest neighbors algorithm; Mathematical analysis; Mean phase coherence; Medical diagnosis; Methods; Morphology; Multiple sclerosis; Nervous system; Noise; Pattern recognition; Pattern recognition systems; Phase coherence; Phase-synchrony; Reliability analysis; reliefF; Signal processing; Synchronism; Synchronization; Visual task; Visual tasks; Bivariate empirical mode decomposition; Multiple sclerosis; reliefF; Electroencephalography; Phase-synchrony; Mean phase coherence; Visual task