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Detection and removal of stimulation artifacts in electroencephalogram recordings., , , and . EMBC, page 7159-7162. IEEE, (2011)Movement related cortical potentials in severe chronic stroke., , , , and . EMBC, page 2216-2219. IEEE, (2013)Validation of a Brain-Computer Interface (BCI) System Designed for Patients with Disorders of Consciousness (DOC): Regular and Sham Testing with Healthy Participants., , , , , and . HCI (15), volume 10285 of Lecture Notes in Computer Science, page 253-265. Springer, (2017)Effects of Repeating a Tactile Brain-Computer Interface on Patients with Disorder of Consciousness: A Hint of Recovery?*., , , , , , , and . NER, page 29-32. IEEE, (2019)Motor Rehabilitation for Hemiparetic Stroke Patients Using a Brain-Computer Interface Method., , , , , , , , , and . SMC, page 1001-1005. IEEE, (2018)Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation., , , , and . EMBC, page 7310-7315. IEEE, (2011)Differences in hemodynamic activations between motor imagery and upper limb FES with NIRS., , , , , , , , and . EMBC, page 4728-4731. IEEE, (2012)MindBEAGLE - A new system for the assessment and communication with patients with disorders of consciousness and complete locked-in syndrom., , , , , , , , , and 2 other author(s). SMC, page 3008-3013. IEEE, (2017)Brain Computer Interface treatment for gait rehabilitation of stroke patients - Preliminary results., , , and . SMC, page 2948-2951. IEEE, (2021)