Öz
Kaynakça
- A. B. Aygun, A. R. Kavsaoglu, An innovative P300 speller brain–computer interface design: Easy screen, Biomedical Signal Processing and Control, Volume 75, 2022, 103593, https://doi.org/10.1016/j.bspc.2022.103593
Öz
A dataset has been created to support advancements in brain-computer interface (BCI) research, particularly focusing on P300 speller systems and electroencephalography (EEG) signal analysis. This dataset provides detailed EEG recordings from 30 healthy participants during offline analysis, online character recognition, and word-writing tasks. A 16-channel Brain Products V-Amp device was utilized, and data were collected via a 7×7 visual stimulus matrix designed to evoke reliable P300 responses, with stimuli presented in randomized sequences. The dataset comprises raw EEG signals, binary labels, and stimulus timing information, structured to facilitate the development of innovative BCI algorithms and real-time applications. This open-access resource enables novel approaches to EEG signal classification and supports the design of adaptive P300 speller interfaces, offering a foundation for advancing assistive technologies and neuroscience research.
Anahtar Kelimeler
Etik Beyan
Declaration of interests ☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Kaynakça
- A. B. Aygun, A. R. Kavsaoglu, An innovative P300 speller brain–computer interface design: Easy screen, Biomedical Signal Processing and Control, Volume 75, 2022, 103593, https://doi.org/10.1016/j.bspc.2022.103593
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | İnsan Bilgisayar Etkileşimi, Biyoenformatik |
| Bölüm | Research Article |
| Yazarlar | |
| Erken Görünüm Tarihi | 16 Ocak 2025 |
| Yayımlanma Tarihi | 17 Ocak 2025 |
| Gönderilme Tarihi | 24 Aralık 2024 |
| Kabul Tarihi | 15 Ocak 2025 |
| Yayımlandığı Sayı | Yıl 2024 Cilt: 2 Sayı: 2 |
