Temat: brain-computer interfaces - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Using LORETA Method Based on the EEG Signal for Localizing the Sources of Brain Waves Activity
Autorzy:: Paszkiel, S.
Powiązania:: https://bibliotekanauki.pl/articles/114284.pdf
Data publikacji:: 2016
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: electroencephalography
LORETA
signal
brain computer-interfaces
Opis:: The article presents the possibility of using the method of imaging brain activity, LORETA LOw Resolution Electromagnetic TomogrAphy), that can base on electroencephalographical and magnetoencephalographical readings. Thanks to using the above-mentioned method, it is possible to localize the sources of the activity of individual signals registered on the head surface. This is very significant regarding construction of the brain-computer interfaces in order to conduct proper identification and classification of signals obtained during electroencephalography.
Źródło:: Measurement Automation Monitoring; 2016, 62, 8; 262-264
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Feature selection for EEG-based discrimination between imagination of left and right hand movements
Autorzy:: Binias, B.
Palus, H.
Powiązania:: https://bibliotekanauki.pl/articles/114144.pdf
Data publikacji:: 2015
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: EEG signal
brain-computer interfaces
feature extraction
classification
lateralized brain activity
Opis:: : In this article was analyzed an influence of selected features on the accuracy of discrimination between imagination of right and left hand movements based on recorded EEG waveforms. The study showed a significant advantage that individual selection of features and a classification algorithm for analyzed data holds over the more general approach. The results were compared with the results obtained by the participants of the "BCI competition IV" and placed in the top three.
Źródło:: Measurement Automation Monitoring; 2015, 61, 4; 94-97
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

Artykuł

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