An application of pattren recognition algorithms for EEG feature extra extration

• Autorzy: Browarska Natalia
• Języki publikacji: EN

Abstrakty

EN

The aim of the article is using neural networks to analyze biological data from electroencephalography examination. Appropriate structure of an artificial neural network is able to find a repetitive features in EEG data.

• Wydawca: Oficyna Wydawnicza Politechniki Opolskiej
• Czasopismo: Zeszyty Naukowe. Elektryka / Politechnika Opolska
• Rocznik: 2019
• Tom: z. 77
• Strony: 19--22
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Browarska Natalia

• Faculty of Electrical Engineering, Automatic Control and Informatics Institute of Electric Power Engineering and Renewable Energy

Bibliografia

• [1] ACI Ç.İ., KAYA M., MISHCHENKO Y.: Distinguishing mental attention states of humans via an EEG-based passive BCI using Machine Learning Methods. Expert Systems with Applications, 2019
• [2] KHAZI M., KUMAR A., VIDYA M.J.: Analysis of EEG using 10: 20 electrode system. International Journal of Innovative Research in Science, Engineering and Technology, Vol. 1(2), pp. 185–191, 2012
• [3] KAWALA-JANIK A., PELC M., PODPORA M.: Method for EEG signals pattern recognition in embedded systems. Elektronika i Elektrotechnika, Vol. 21(3), pp. 3–9, 2015
• [4] VIQUEIRA M., ZAPIRAIN B.G., ZORRILLA A.M.: Ocular movement and cardiac rhythm control using EEG techniques. In Medical Imaging in Clinical Practice. IntechOpen, 2013
• [5] DAWSON G.D.: Investigations on a patient subject to myoclonic seizures after sensory stimulation. Journal of neurology, neurosurgery, and psychiatry, Vol. 10(4), p.141, 1947
• [6] CHUANG J., MERRILL N., MAILLART T., AND STUDENTS OF THE UC BERKELEY SPRING 2015 MIDS IMMERSION CLASS. Synchronized Brainwave Recordings from a Group Presented with a Common Audio-Visual Stimulus, 2015
• [7] TADEUSIEWICZ R.: Neurocybernetyka teoretyczna, Wydawnictwo Uniwersytetu Warszawskiego, Warszawa, 2009.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).