Autors: Tsenov, G. T., Mladenov, V. M.
Title: EEG alphabet speller with Neural Network classifier for P300 signal detection
Keywords: EEG brainwaves , P300 detection , Neural Networks

Abstract: This paper presents the implementation of a P300 alphabet speller study case. The speller is based on methodology in which alphabet symbols are displayed in real-time on screen to test subjects, with real-time electroencephalograph measurement of human brainwaves, with P300 event evoked potential signal detection. The implementation is done in MATLAB with Emotiv Epoc EEG+ headset.

References

    Issue

    14th IEEE Symposium on Neural Networks and Applications (NEUREL), pp. 1-6, 2018, Serbia, IEEE, DOI: 10.1109/NEUREL.2018.8587033

    Цитирания (Citation/s):
    1. Sabio, J., Williams, N., McArthur, G. and Badcock, N.A., 2022. A scoping review on the use of consumer-grade EEG devices for research. bioRxiv. https://doi.org/10.1101/2022.12.04.519056 pp. 1-39, (Google Scholar) - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    2. Sabio, J., Williams, N., McArthur, G. and Badcock, N.A., 2024. “A scoping review on the use of consumer-grade EEG devices for research,” bioRxiv. https://doi.org/10.1101/2022.12.04.519056 pp. 1-39, ISSN 19326203, DOI 10.1371/journal.pone.0291186 (Web of Science, Scopus, Google Scholar) SJR 0.885, IF 3.8 - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science