| Autor: |
Skibińska, Justyna, Burget, Radim |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
XXXV Finnish URSI Convention on Radio Science |
| DOI: |
10.5281/zenodo.3532972 |
| Popis: |
The authors gratefully acknowledge funding from European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska Curie grant agreement No. 813278 (A- WEAR, http://www.a-wear.eu/). In this paper, we show in a nutshell a characteristic of EEG signal, approaches in the analysis of this biosignal and the possible usage in the diagnosis. It will be depicted also the recent application of deep learning methods likewise the advantages of new type of neural networks: neural ordinary differential equations (ODE). ODE networks seems to be great promise to EEG analysis and its accuracy. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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