Detail publikace

Multicenter intracranial EEG dataset for classification of graphoelements and artifactual signals

NEJEDLÝ, P. KREMEN V. SLADKÝ, V. CIMBÁLNÍK J. KLIMEŠ P.PLEŠINGER, F. MÍVALT, F. TRÁVNÍČEK, V. VISCOR I. PAIL, M. HALÁMEK, J. BRINKMANN, B.BRAZDIL M. PAVEL J. WORRELL, G.

Originální název

Multicenter intracranial EEG dataset for classification of graphoelements and artifactual signals

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

EEG signal processing is a fundamental method for neurophysiology research and clinical neurology practice. Historically the classification of EEG into physiological, pathological, or artifacts has been performed by expert visual review of the recordings. However, the size of EEG data recordings is rapidly increasing with a trend for higher channel counts, greater sampling frequency, and longer recording duration and complete reliance on visual data review is not sustainable. In this study, we publicly share annotated intracranial EEG data clips from two institutions: Mayo Clinic, MN, USA and St. Anne's University Hospital Brno, Czech Republic. The dataset contains intracranial EEG that are labeled into three groups: physiological activity, pathological/epileptic activity, and artifactual signals. The dataset published here should support and facilitate training of generalized machine learning and digital signal processing methods for intracranial EEG and promote research reproducibility. Along with the data, we also propose a statistical method that is recommended for comparison of candidate classifier performance utilizing out-of-institution/out-of-patient testing.

Klíčová slova

HIGH-FREQUENCY OSCILLATIONS

Autoři

NEJEDLÝ, P. KREMEN V.; SLADKÝ, V.; CIMBÁLNÍK J.; KLIMEŠ P.;PLEŠINGER, F.; MÍVALT, F.; TRÁVNÍČEK, V.; VISCOR I.; PAIL, M.; HALÁMEK, J.; BRINKMANN, B.;BRAZDIL M.; PAVEL J.; WORRELL, G.

Vydáno

26. 6. 2020

Nakladatel

NATURE PUBLISHING GROUP

Místo

LONDON

ISSN

2052-4463

Periodikum

Scientific data

Číslo

7

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

7

Strany počet

7

URL

https://www.nature.com/articles/s41597-020-0532-5

BibTex

@article{BUT165222,
  author="NEJEDLÝ, P. KREMEN V. and SLADKÝ, V. and CIMBÁLNÍK J. and KLIMEŠ P. and PLEŠINGER, F. and MÍVALT, F. and TRÁVNÍČEK, V. and VISCOR I. and PAIL, M. and HALÁMEK, J. and BRINKMANN, B. and BRAZDIL M. and PAVEL J. and WORRELL, G.",
  title="Multicenter intracranial EEG dataset for classification of graphoelements and artifactual signals",
  journal="Scientific data",
  year="2020",
  number="7",
  pages="1--7",
  doi="10.1038/s41597-020-0532-5",
  issn="2052-4463",
  url="https://www.nature.com/articles/s41597-020-0532-5"
}