Abstract
The utilization of a visual cue plays a
significant role in enhancing the operational efficiency
of brain-computer interface (BCI) systems for
individuals with Locked-In Syndrome (LIS). This
significance arises from the absence of a reliable
method to discern the actual initiation of attempted
movements in these patients. First, the decoders for
identifying or classifying self-initiated movements need
to be trained on cue-based paradigms. However, these
cues can elicit neural activity (e.g., visual/auditory
evoked potentials, cognitive processing, etc.) that
obscures the neural dynamics of movement, thus
negatively influencing the performance of the decoder.
Therefore, we implemented four novel visual cues with
the intention to reduce these effects to a minimum. Our
research findings indicate that the effectiveness of
classification performance in self-paced EEG recordings
when the decoder is trained on cue-based data for
movement tasks, is significantly impacted by the design
of the cue.
significant role in enhancing the operational efficiency
of brain-computer interface (BCI) systems for
individuals with Locked-In Syndrome (LIS). This
significance arises from the absence of a reliable
method to discern the actual initiation of attempted
movements in these patients. First, the decoders for
identifying or classifying self-initiated movements need
to be trained on cue-based paradigms. However, these
cues can elicit neural activity (e.g., visual/auditory
evoked potentials, cognitive processing, etc.) that
obscures the neural dynamics of movement, thus
negatively influencing the performance of the decoder.
Therefore, we implemented four novel visual cues with
the intention to reduce these effects to a minimum. Our
research findings indicate that the effectiveness of
classification performance in self-paced EEG recordings
when the decoder is trained on cue-based data for
movement tasks, is significantly impacted by the design
of the cue.
Original language | English |
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Title of host publication | Proceedings of the 9th Graz Brain-Computer Interface Conference 2024 Join Forces - Increase Performance |
Publisher | Verlag der Technischen Universität Graz |
Pages | 538-543 |
ISBN (Print) | 978-3-99161-014-4 |
Publication status | Published - 2024 |
Event | 9th Graz Brain-Computer Interface Conference: Join Forces - Increase Performance: BCI 2024 - Stremayrgasse 16, Kopernikusgasse 24, Graz, Austria Duration: 9 Sept 2024 → 12 Sept 2024 |
Conference
Conference | 9th Graz Brain-Computer Interface Conference: Join Forces - Increase Performance |
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Abbreviated title | 9th Graz BCI Conference 2024 |
Country/Territory | Austria |
City | Graz |
Period | 9/09/24 → 12/09/24 |