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Hybrid Wavelet and EMD/ICA Approach for Artifact Suppression in Pervasive EEG., , , and . CoRR, (2018)Investigating phase synchronisation in EEG signals for brain connectivity analysis.. University of Southampton, UK, (2015)British Library, EThOS.Prediction of Synchrostate Transitions in EEG Signals Using Markov Chain Models., , , and . IEEE Signal Process. Lett., 22 (2): 149-152 (2015)Existence of millisecond-order stable states in time-varying phase synchronization measure in EEG signals., , and . EMBC, page 2539-2542. IEEE, (2013)Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach With EEG, fMRI, and DTI., , , , , , , and . IEEE Trans. Cognitive and Developmental Systems, 10 (2): 213-226 (2018)Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques., , , and . CoRR, (2014)On the Existence of Synchrostates in Multichannel EEG Signals during Face-perception Tasks., , , , , , , and . CoRR, (2016)Classification of Autism Spectrum Disorder Using Supervised Learning of Brain Connectivity Measures Extracted from Synchrostates., , , , , and . CoRR, (2014)