Investigating the effects of stimulus duration and inter-stimulus interval parameters on P300 based BCI application performance
Author:
Affiliation:
1. Faculty of Engineering, Department of Electrical & Electronics Engineering, Karadeniz Technical University, Trabzon, Turkey
2. Faculty of Engineering, Department of Electrical & Electronics Engineering, Hacettepe University, Ankara, Turkey
Publisher
Informa UK Limited
Subject
Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10255842.2021.2022127
Reference24 articles.
1. Participant-specific classifier tuning increases the performance of hand movement detection from EEG in patients with amyotrophic lateral sclerosis
2. Effects of SOA and flash pattern manipulations on ERPs, performance, and preference: Implications for a BCI system
3. P300-based brain–computer interface for environmental control: an asynchronous approach
4. Pairwise and variance based signal compression algorithm (PVBSC) in the P300 based speller systems using EEG signals
5. Common spatial pattern-based feature extraction from the best time segment of BCI data
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1. A novel probabilistic and 3D column P300 stimulus presentation paradigm for EEG-based spelling systems;Neural Computing and Applications;2023-02-16
2. Effect of 3D Paradigm on Event-Related Potentials;Traitement du Signal;2022-11-30
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