Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Kreilinger, A; Hiebel, H; Müller-Putz, GR.
Single Versus Multiple Events Error Potential Detection in a BCI-Controlled Car Game With Continuous and Discrete Feedback.
IEEE Trans Biomed Eng. 2016; 63(3):519-529
Doi: 10.1109/TBME.2015.2465866
Web of Science
PubMed
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- Führende Autor*innen der Med Uni Graz
- Kreilinger Alex
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- Abstract:
- This work aimed to find and evaluate a new method for detecting errors in continuous brain-computer interface (BCI) applications. Instead of classifying errors on a single-trial basis, the new method was based on multiple events (MEs) analysis to increase the accuracy of error detection. In a BCI-driven car game, based on motor imagery (MI), discrete events were triggered whenever subjects collided with coins and/or barriers. Coins counted as correct events, whereas barriers were errors. This new method, termed ME method, combined and averaged the classification results of single events (SEs) and determined the correctness of MI trials, which consisted of event sequences instead of SEs. The benefit of this method was evaluated in an offline simulation. In an online experiment, the new method was used to detect erroneous MI trials. Such MI trials were discarded and could be repeated by the users. We found that, even with low SE error potential (ErrP) detection rates, feasible accuracies can be achieved when combining MEs to distinguish erroneous from correct MI trials. Online, all subjects reached higher scores with error detection than without, at the cost of longer times needed for completing the game. Findings suggest that ErrP detection may become a reliable tool for monitoring continuous states in BCI applications when combining MEs. This paper demonstrates a novel technique for detecting errors in online continuous BCI applications, which yields promising results even with low single-trial detection rates.
- Find related publications in this database (using NLM MeSH Indexing)
- Adult -
- Brain-Computer Interfaces - standards
- Electroencephalography - standards
- Feedback -
- Female -
- Humans -
- Imagination -
- Male -
- Signal Processing, Computer-Assisted -
- Video Games -
- Young Adult -
- Find related publications in this database (Keywords)
- Brain-computer interface (BCI)
- continuous feedback
- electroencephalogram (EEG)
- error potential (ErrP)