Concept of expert system interpreting correctness of measurement and method of the EEG signal analysis for needs of the brain-computer interface

• Autorzy: Paszkiel S.
• Konferencja: Computer Applications in Electrical Engineering (18-19.04.2016 ; Poznań, Polska)
• Języki publikacji: EN

Abstrakty

EN

The concept of construction of the expert system interpreting correctness of measurement and the method of the EEG signal analysis for needs of the brain-computer interface (BCI) are described in the article. The general orientations related with the methodology of creating the expert systems based on the knowledge base (KB) are characterised. Also, the brain-computer interface technology was described, which has been recently gaining more and more popularity within the scope of its application in control processes.

Słowa kluczowe

EN

EEG signal; expert system; data analysis

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Poznan University of Technology Academic Journals. Electrical Engineering
• Rocznik: 2016
• Tom: No. 88
• Strony: 209--216
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Paszkiel S.

• Opole University of Technology

Bibliografia

• [1] Paszkiel S., The use of Brain Computer Interfaces in the control processes based on industrial PC in terms of the methods of EEG signal analysis, Journal of Medical Informatics & Technologies, Vol.22/2013, 2013, pp. 55-62.
• [2] Guger C., Ramoser H., Pfurtscheller G., Real-Time EEG Analysis with Subject-Specific Spatial Patterns for a Brain-Computer Interface, IEEE Transactions on Rehabilitation Engineering, 8(4), 2000, pp. 447-456.
• [3] Weiss J.N. et al., Chaos and Chaos Control in Biology, J. Clin. Invest., 93, 1994, pp. 1355-1360.
• [4] Paszkiel S., Augmented reality of technological environment in correlation with brain computer interfaces for control processes, Advances in Intelligent Systems and Computing 267 - AISC, Springer 2014, Switzerland, 2014, pp. 197-203.
• [5] Rapp P.E. et al., Dynamics of spontaneous neural activity in the simian motor cortex: the dimension of chaotic neurons, Phys. Letters A., 110, 1985, pp. 335-338.
• [6] Chen Y.S., Cheng C.Y., Hsieh J.C., Chen L.F., Maximum contrast beamformer for electromagnetic mapping of brain activity, IEEE Transactions on Biomedical Engineering, 53(9, 2006), pp. 1765-74.
• [7] Baillet S., Mosher J.C., Leahy R.M., Electromagnetic brain mapping, IEEE Signal Processing Magazine, 18(6, 2001), pp. 14-30.
• [8] Fitzgibbon S.P., Powers D.M., Pope K.J., Clark C.R., Removal of EEG noise and artifact using blind source separation, J Clin Neurophysiol, 24(3), pp. 232-243, 2007.
• [9] Paszkiel S., Wykorzystanie metody PCA i ICA do analizy sygnału EEG w kontekście usuwania zakłóceń, Pomiary Automatyka Kontrola, Vol. 59, pp. 204-207, Warszawa, 3/2013.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.