Detail publikačního výsledku

The application of deep learning techniques in the electroencephalogram (EEG) analysis

SKIBIŃSKA, J.; BURGET, R.

Originální název

The application of deep learning techniques in the electroencephalogram (EEG) analysis

Anglický název

The application of deep learning techniques in the electroencephalogram (EEG) analysis

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Low latency;EEG;Deep learning, ODE networks

Klíčová slova v angličtině

Low latency;EEG;Deep learning, ODE networks

Autoři

SKIBIŃSKA, J.; BURGET, R.

Vydáno

18.10.2019

Nakladatel

Tampere University, Hervanta Campus

Místo

Tampere

Strany od

1

Strany do

4

Strany počet

4

BibTex

@inproceedings{BUT159890,
  author="Justyna {Skibińska} and Radim {Burget}",
  title="The application of deep learning techniques in the electroencephalogram (EEG) analysis",
  year="2019",
  pages="1--4",
  publisher="Tampere University, Hervanta Campus",
  address="Tampere",
  doi="10.5281/zenodo.3532972"
}