Autors: Ivaylov, I. E., Lazarova, M. K., Manolova, A. H.
Title: Multimodal Motor Imagery BCI Based on EEG and NIRS
Keywords: Brain computer interface, Electro-encephalography, Near-infr

References

    Issue

    Proc. of 56th IEEE International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), pp. 73-76, 2021, Bulgaria, https://doi.org/10.1109/ICEST52640.2021.9483551

    Цитирания (Citation/s):
    1. Korhan, N., Classification of Ten Different Motor Imagery EEG Signals by Using Deep Neural Networks, PhD Thesis, Istanbul Technical University, 2023 - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    2. Lian, Z., Xu, T., Yuan, Z., Li, J., Thakor, N., & Wang, H. (2024). Driving fatigue detection based on hybrid electroencephalography and eye tracking. IEEE Journal of Biomedical and Health Informatics. - 2024 - в издания, индексирани в Scopus и/или Web of Science
    3. Karunarathne M.T.A., Aththanayaka J.S., Samarakoon S.M.U.S., Uvais M.I., Herath H.M.K.K.M.B., Yasakethu S.L.P., A Deep Bi-LSTM-Based Motor Imagery Braincomputer Interface for Wheelchair Navigation, 2026, Proceedings IEEE International Research Conference on Smart Computing and Systems Engineering Scse 2026, issue 0, DOI 10.1109/SCSE70081.2026.11499971 - 2026 - в издания, индексирани в Scopus

    Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus и Web of Science