| Autor: |
Barbosa AF; Universidade Federal do Rio Grande do Norte, Natal, RN 59078900 Brazil. afreitasb@gmail.com, Souza BC, Ferro D, Pantoja AL, Doria AD, Pereira A, Guerreiro AM |
| Jazyk: |
angličtina |
| Zdroj: |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2010; Vol. 2010, pp. 4242-5. |
| DOI: |
10.1109/IEMBS.2010.5627382 |
| Abstrakt: |
In this work, we implemented a brain-machine interface (BMI) based on electroencephalographic (EEG) signals and used it to classify and separate three types of mental tasks: motor imagery with the right and left hands and simple arithmetic sums. In order to reduce dimension of variables and increase classification power, we used both PCA and ICA based algorithms for spectral analysis. Our results show that we were no able to reduce dimension without reducing classification performance. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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