Discrimination of motor imagery-induced EEG patterns in patients with complete spinal cord injury
Computational Intelligence and Neuroscience - Neuromath: advanced methods for the estimation of human brain activity and connectivity
A note on brain actuated spelling with the Berlin brain-computer interface
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
An EEGLAB plugin to analyze individual EEG alpha rhythms using the "channel reactivity-based method"
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine
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Over the past two decades, much progress has been made in the rapidly evolving field of Brain Computer Interface (BCI). This paper presents a novel concept: a BCI-simulator, which has been developed for the Hex-O-Spell interface, using the sensory motor rhythms (SMR) paradigm. With the simulator, it is possible to evaluate how the model parameters such as error classifications, delay between classifications and success rate affect the communication rate. Another advantage of the simulator is that it allows us to study for more classes than most online BCI systems which are limited to only two classes. Results show that the BCI simulator is able to give a deeper understanding of the feedback systems. We also find that a 3-class system is more efficient than a 2-class system if it obtains a success rate of at least 55% of the 2-class system.