EEG data processing with neural network

[1] R. T. Schirrmeister, J. T. Springenberg, …, T. Ball (2018): Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG. arXiv:1703.05051v5Search in Google Scholar

[2] Nijboer, F., Sellers, E. W., …, Kübler, A. (2008): A P300-based brain-computer interface for people with amyotrophic lateral sclerosis. Clincical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology, 119(8):1909–1916.10.1016/j.clinph.2008.03.034285397718571984Search in Google Scholar

[3] Munßinger, J. I., Halder, …, Kubler, A. (2010). Brain Painting: First Evaluation of a New Brain–Computer Interface Application with ALSPatients and Healthy Volunteers. Frontiers in Neuroscience, 4.10.3389/fnins.2010.00182299624521151375Open DOISearch in Google Scholar

[4] Tonin, L., Carlson, T., Leeb, R., Millán, J. d. R. (2011). Brain-controlled telepresence robot by motor-disabled people. In 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 4227–4230.10.1109/IEMBS.2011.609104922255272Search in Google Scholar

[5] Craik, A., He, Y., Contreras-Vidal JL. (2019): Deep learning for electroencephalogram (EEG) classification tasks: a review. Journal of neural engineering. doi: 10.1088/1741-2552/ab0ab510.1088/1741-2552/ab0ab530808014Open DOISearch in Google Scholar

[6] Schalk, G., McFarland, D.J., Hinterberger, T., Birbaumer, N., Wolpaw, J.R. BCI2000: A General-Purpose Brain-Computer Interface (BCI) System. IEEE Transactions on Biomedical Engineering 51(6):1034-1043, 2004.10.1109/TBME.2004.82707215188875Open DOISearch in Google Scholar

[7] M. Toscani, T. Marzi, S. Righi, M. P. Viggiano, S. Baldassi (2010): Alpha waves: a neural signature of visual suppression. Experimental brain researches. 207(3-4):213-9. doi: 10.1007/s00221-010-2444-710.1007/s00221-010-2444-720972777Open DOISearch in Google Scholar

[8] A. Hoecker, P. Speckmayer, J. Stelzer, J. Therhaag, E. von Toerne, H. Voss: TMVA 4 Users GuideSearch in Google Scholar

[9] J. Suto, S. Oniga, C. Lung, I. Orha, Comparison of offline and realtime human activity recognition results using machine learning techniques, Neural Computing and Applications, March 2018. https://doi.org/10.1007/s00521-018-3437-x10.1007/s00521-018-3437-xOpen DOISearch in Google Scholar

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