On Open Workflows for Processing of Standardized Electroencephalography Data
Roman Mouček, Filip Kupilík
2021
Abstract
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.
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in Harvard Style
Mouček R. and Kupilík F. (2021). On Open Workflows for Processing of Standardized Electroencephalography Data. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF; ISBN 978-989-758-490-9, SciTePress, pages 667-676. DOI: 10.5220/0010345006670676
in Bibtex Style
@conference{healthinf21,
author={Roman Mouček and Filip Kupilík},
title={On Open Workflows for Processing of Standardized Electroencephalography Data},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF},
year={2021},
pages={667-676},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010345006670676},
isbn={978-989-758-490-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF
TI - On Open Workflows for Processing of Standardized Electroencephalography Data
SN - 978-989-758-490-9
AU - Mouček R.
AU - Kupilík F.
PY - 2021
SP - 667
EP - 676
DO - 10.5220/0010345006670676
PB - SciTePress