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Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs?

, , , , , , , , и . COMPLEX NETWORKS, том 1016 из Studies in Computational Intelligence, стр. 688-699. Springer, (2021)

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Can graph metrics be used for EEG-BCIs based on hand motor imagery?, , и . Biomed. Signal Process. Control., (2018)Reproducibility analysis of functional connectivity measures for application in motor imagery BCIs., , , , и . Biomed. Signal Process. Control., (августа 2023)Complex network changes during a virtual reality rehabilitation protocol following stroke: a case study., , , , , , , , , и 1 other автор(ы). NER, стр. 891-894. IEEE, (2019)Actual, sham and no-feedback effects in motor imagery practice., , и . Biomed. Signal Process. Control., 71 (Part): 103262 (2022)Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs?, , , , , , , , и . COMPLEX NETWORKS, том 1016 из Studies in Computational Intelligence, стр. 688-699. Springer, (2021)Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces., , , , и . Medical Biol. Eng. Comput., 57 (8): 1709-1725 (2019)Criteria for event-related (de)synchronization detection and feature consistency for motor imagery-based neuromodulation., , , , , и . BIBE, стр. 588-595. IEEE, (2020)