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|Main Title:||Online detection of error-related potentials boosts the performance of mental typewriters|
|Author(s):||Schmidt, Nico M.|
Treder, Matthias S.
|Abstract:||Background: Increasing the communication speed of brain-computer interfaces (BCIs) is a major aim of current BCI-research. The idea to automatically detect error-related potentials (ErrPs) in order to veto erroneous decisions of a BCI has been existing for more than one decade, but this approach was so far little investigated in online mode. Methods: In our study with eleven participants, an ErrP detection mechanism was implemented in an electroencephalography (EEG) based gaze-independent visual speller. Results: Single-trial ErrPs were detected with a mean accuracy of 89.1% (AUC 0.90). The spelling speed was increased on average by 49.0% using ErrP detection. The improvement in spelling speed due to error detection was largest for participants with low spelling accuracy. Conclusion: The performance of BCIs can be increased by using an automatic error detection mechanism. The benefit for patients with motor disorders is potentially high since they often have rather low spelling accuracies compared to healthy people.|
|DDC Class:||610 Medizin und Gesundheit|
Information transfer rate
|Creative Commons License:||https://creativecommons.org/licenses/by/2.0/|
|Journal Title:||BMC Neuroscience|
|Notes:||Published by BioMed Central Schmidt, Nico M. ; Blankertz, Benjamin ; Treder, Matthias S. : Online detection of error-related potentials boosts the performance of mental typewriters. - In: BMC Neuroscience. - ISSN 1471-2202 (online). - 13 (2012), art. 19. - doi:10.1186/1471-2202-13-19.|
|Appears in Collections:||Technische Universität Berlin » Fakultäten & Zentralinstitute » Fakultät 4 Elektrotechnik und Informatik » Institut für Softwaretechnik und Theoretische Informatik » Publications|
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