Machine Learning for Healthcare Applications. Группа авторов

Чтение книги онлайн.

СКАЧАТЬ Wise, C., Kodagoda, S., Louviere, J., Kahn, B.E., Townsend, C., Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking. Expert Syst. Appl., 40, 9, 3803–3812, 2013.

      17. Stickel, C., Fink, J., Holzinger, A., Enhancing universal access–EEG based learnability assessment. International Conference on Universal Access in Human–Computer Interaction, Springer, Berlin, Heidelberg, pp. 813–822, 2007.

      18. Holzinger, A., Scherer, R., Seeber, M., Wagner, J., Müller-Putz, G., Computational sensemaking on examples of knowledge discovery from neuroscience data: Towards enhancing stroke rehabilitation. International Conference on Information Technology in Bio- and Medical Informatics, Springer, Berlin, Heidelberg, pp. 166–168, 2012.

      19. Holzinger, A., Stocker, C., Bruschi, M., Auinger, A., Silva, H., Gamboa, H., Fred, A., On applying approximate entropy to ECG signals for knowledge discovery on the example of big sensor data. International Conference on Active Media Technology, Springer, Berlin, Heidelberg, pp. 646–657, 2012.

      20. Hargittai, S., Savitzky–Golay least-squares polynomial filters in ECG signal processing. Comput. Cardiol., 2005, 763–766, IEEE, 2005.

      21. Gandhi, V., Prasad, G., Coyle, D., Behera, L., McGinnity, T.M., Quantum neural network-based EEG filtering for a brain–computer interface. IEEE Trans. Neural Networks Learn. Syst., 25, 2, 278–288, 2013.

22. Abd Rahman, F. and Othman, M.F., Real time eye blink artifacts removal in electroencephalogram using Savitzky–Golay referenced adaptive filtering. International Conference for Innovation in Biomedical Engineering and Life Sciences, Springer, Singapore, pp. 68–71, 2015.

      23. Awal, M.A., Mostafa, S.S., Ahmad, M., Performance analysis of Savitzky–Golay smoothing filter using ECG signal. Int. J. Comput. Inf. Technol., 1, 02, 24–29, 2011.

      24. Kaur, B., Singh, D., Roy, P.P., A novel framework of EEG-based user identification by analyzing music-listening behavior. Multimedia Tools Appl., 76, 24, 25581–25602, 2017.

      ^*Corresponding author: [email protected]

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