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The purpose of this study was to evaluate the feasibility of a novel non-invasive P300-based brain computer interface (BCI) mouse emulation device (MED), along with a commercial head-mouse among experienced head-mouse users with cervical spinal cord injury (SCI). The setting was a controlled...
Identification of imagined motor movement during cerebral activity is a significant task for translating the activity into control signals for brain–computer interface-based applications. This paper proposes a model based on non-dyadic wavelet decomposition for specifying left-hand and...
The online usage of brain-computer interfaces (BCI) generates unlabeled data. This data in combination with the rich structure contained in BCI applications based on event-related potentials allow to design novel unsupervised classification approaches like learning from label proportions (LLP)...
Brain-computer interface (BCI) technology can restore communication and control to people who are severely paralyzed. BCI technology might also be able to enhance rehabilitation of motor function. We have previously shown that pre-movement sensorimotor rhythm (SMR) amplitude affects reaction...
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