Mobil EEG Cihazları ile Veri Toplama: Metodolojik Bir Kılavuz ve Uygulamalarla Değerlendirme
Abstract
Keywords
EEG, Mobil cihazlar, Motor hareket hayali, Duygu tanıma, Beyin-bilgisayar arayüzü
Supporting Institution
Ethical Statement
Thanks
References
- Acharya, D., Billimoria, A., Srivastava, N., Goel, S., Bhardwaj, A. (2020). Emotion recognition using fourier transform and genetic programming. Applied Acoustics, 164, 107260. https://doi.org/10.1016/j.apacoust.2020.107260
- Al-Hamadani, A. A., Mohammed, M. J., Tariq, S. M. (2023). Normalized deep learning algorithms based information aggregation functions to classify motor imagery EEG signal. Neural Computing and Applications, 35(30), 22725-22736. https://doi.org/10.1007/s00521-023-08944-9
- Al-Saegh, A., Dawwd, S.A., Abdul-Jabbar, J.M. (2021). CutCat: An augmentation method for EEG classification. Neural Networks, 141: 433-443. https://doi.org/10.1016/j.neunet.2021.05.032
- Arad, E., Bartsch, R. P., Kantelhardt, J. W., Plotnik, M. (2018). Performance-based approach for movement artifact removal from electroencephalographic data recorded during locomotion. PloS one, 13(5), e0197153.https://doi.org/10.1371/journal.pone.0197153
- Arvaneh, M., Guan, C., Ang, K. K. et al. (2011). Optimizing the channel selection and classification accuracy in EEG-based BCI. IEEE Transactions on Biomedical Engineering, 58(6), 1865-1873. https://doi.org/10.1109/TBME.2011.2131142
- Biondi, A., Santoro, V., Viana, P. F., Laiou, P., Pal, D. K., Bruno, E., Richardson, M. P. (2022). Noninvasive mobile EEG as a tool for seizure monitoring and management: A systematic review. Epilepsia, 63(5), 1041-1063. https://doi.org/10.1111/epi.17220
- BioSemi Products. https://www.biosemi.com/research.htm (2025, Mart 25).
- Boehner, K., DePaula, R., Dourish, P., Sengers, P. (2007). How emotion is made and measured. International Journal of Human-Computer Studies, 65(4), 275-291. https://doi.org/10.1016/j.ijhcs.2006.11.016
- Brain Products Neurophysiology EEG Solutions. Available online: https://www.brainproducts.com/solutions/ (2025, Mart 25).
- Brunner, C., Naeem, M., Leeb, R., Graimann, B., Pfurtscheller, G. (2007). Spatial filtering and selection of optimized components in four class motor imagery EEG data using independent components analysis. Pattern Recognition Letters, 28(8): 957-964. https://doi.org/10.1016/j.patrec.2007.01.002