On open workflows for processing of standardized electroencephalography data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43963618" target="_blank" >RIV/49777513:23520/21:43963618 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scitepress.org/Papers/2021/103450/103450.pdf" target="_blank" >https://www.scitepress.org/Papers/2021/103450/103450.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0010345006670676" target="_blank" >10.5220/0010345006670676</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On open workflows for processing of standardized electroencephalography data

Popis výsledku v původním jazyce

With increasing amounts of experimental data, openness, fairness, and reproducibility of scientific experimental work have become important factors for researchers, journals and funding bodies. However, these kinds of challenges are not easily and directly achievable. The goal of this paper is to contribute to these efforts by introducing advances in building more mature lifecycle of electroencephalography/event-related potential data. The progressive data standardization initiatives, data formats, and trends in using machine and deep learning methods for processing of domain data are described and discussed. An open processing workflow based on the analysis of current software tools for preprocessing, processing and classification of electroencephalography/event-related potential data is proposed, implemented and verified on a publicly available dataset.

Název v anglickém jazyce

On open workflows for processing of standardized electroencephalography data

Popis výsledku anglicky

With increasing amounts of experimental data, openness, fairness, and reproducibility of scientific experimental work have become important factors for researchers, journals and funding bodies. However, these kinds of challenges are not easily and directly achievable. The goal of this paper is to contribute to these efforts by introducing advances in building more mature lifecycle of electroencephalography/event-related potential data. The progressive data standardization initiatives, data formats, and trends in using machine and deep learning methods for processing of domain data are described and discussed. An open processing workflow based on the analysis of current software tools for preprocessing, processing and classification of electroencephalography/event-related potential data is proposed, implemented and verified on a publicly available dataset.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF

ISBN

978-989-758-490-9

ISSN

2184-4305

e-ISSN

—

Počet stran výsledku

10

Strana od-do

667-676

Název nakladatele

ScitePress

Místo vydání

Setúbal

Místo konání akce

online

Datum konání akce

11. 2. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000664063000075