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Graph-theoretic analysis of scalp EEG brain networks in epilepsy - The influence of montage and volume conduction.

, , , , , and . BIBE, page 1-4. IEEE Computer Society, (2013)

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A symbolic dynamics approach to Epileptic Chronnectomics: Employing strings to predict crisis onset., , , , , , , and . Theor. Comput. Sci., (2018)Epileptic seizure onset correlates with long term EEG functional brain network properties., , , , , and . EMBC, page 2822-2825. IEEE, (2016)Automatic detection and removal of muscle artifacts from scalp EEG recordings in patients with epilepsy., , , , and . EMBC, page 1946-1950. IEEE, (2015)Introducing weighted approaches to study network brain dynamics from EEG epilepsy measurements: The EigenBrain algorithm., , , , and . BIBE, page 1-5. IEEE Computer Society, (2015)Detection and Removal of Muscle Artifacts from Scalp EEG Recordings in Patients with Epilepsy., , , , , and . BIBE, page 291-296. IEEE Computer Society, (2014)Periodicity in functional brain networks: Application to scalp EEG from epilepsy patients., , , , , and . EMBC, page 2805-2808. IEEE, (2014)Investigation of network brain dynamics from EEG measurements in patients with epilepsy using graph-theoretic approaches., , , , and . BIBE, page 303-308. IEEE Computer Society, (2012)Graph-theoretic analysis of scalp EEG brain networks in epilepsy - The influence of montage and volume conduction., , , , , and . BIBE, page 1-4. IEEE Computer Society, (2013)