Autors: Ivaylov, I. E., Lazarova, M. K., Manolova, A. H.
Title: EEG Classification for Motor Imagery Mental Tasks Using Wavelet Signal Denoising
Keywords: brain computer interface, classification, electroencephalogr

References

    Issue

    Proc. of 28th National Conference with International Participation "Telecom 2020", pp. 53–56, 2020, Bulgaria, IEEE, https://doi.org/10.1109/TELECOM50385.2020.9299532

    Цитирания (Citation/s):
    1. M. N. Alam, M. I. Ibrahimy and S. M. A. Motakabber, Feature Extraction of EEG Signal by Power Spectral Density for Motor Imagery Based BCI, Proc. of 8th International Conference on Computer and Communication Engineering (ICCCE), 2021, pp. 234-237, doi: 10.1109/ICCCE50029.2021.9467141 - 2021 - в издания, индексирани в Scopus и/или Web of Science
    2. H. E. Abadi, M. K. Moridani, M. Mirzakhani, Mental arithmetic task detection using geometric features extraction of EEG signal based on machine learning, Bratislavske lekarske listy, vol. 123, No. 6, 2022, pp. 408-421 - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    3. Y. Shang and S. Long, "EEG Signal Classifiaction with Optimized LSTM: A Meta-Heuristic Approach," 2022 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA), Dalian, China, 2022, pp. 922-929, doi: 10.1109/AEECA55500.2022.9918830 - 2022 - в издания, индексирани в Scopus и/или Web of Science
    4. Hoda Edris ABADI, Mohammad Karimi MORIDANI, Mahshid MIRZAKHANI, Mental arithmetic task detection using geometric features extraction of EEG signal based on machine learning, Bratislava Medical Journal Vol.123, No.6, p.408–420, 2022 - 2022 - в издания, индексирани в Scopus и/или Web of Science
    5. A. Alqahtani, N. Alqahtani, A. Alsulami, S. Ojo, P. Shukla, S. Pandit, P. Pareek, H. Khalifa, Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum, Expert Systems, 2023, DOI: 10.1111/exsy.13383 - 2023 - в издания, индексирани в Scopus
    6. Chu, C., Q. Xiao, J. Shen, L. Chang, N. Zhang, Y. Du, H. Gao, A novel approach of decoding four-class motor imagery tasks via wavelet transform and 1DCNN-BiLSTM. Multimedia Tools and Applications, Vol. 82, No.29, pp.45789-45809, https://doi.org/10.1007/s11042-023-17396-1 - 2023 - в издания, индексирани в Scopus и/или Web of Science

    Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus