Publication detail

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

SKIBIŃSKA, J. BURGET, R.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Low latency;EEG;Deep learning, ODE networks

Authors

SKIBIŃSKA, J.; BURGET, R.

Released

18. 10. 2019

Publisher

Tampere University, Hervanta Campus

Location

Tampere

Pages from

1

Pages to

4

Pages count

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"
}