eeglib: A Python module for EEG feature extraction
Electroencephalography (EEG) signals analysis is non-trivial, thus tools for helping in this task are crucial. One typical step in many studies is feature extraction, however, there are not many tools focused on that aspect. In this paper, eeglib: a Python library for EEG feature extraction is prese...
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2021-07-01
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doaj-768632393d944e7c95751e3b2bcac1b42021-06-21T04:24:37ZengElsevierSoftwareX2352-71102021-07-0115100745eeglib: A Python module for EEG feature extractionLuis Cabañero-Gomez0Ramon Hervas1Ivan Gonzalez2Luis Rodriguez-Benitez3Corresponding author.; Department of Information Systems and Technologies, University of Castilla-La Mancha, Ciudad Real 13071, SpainDepartment of Information Systems and Technologies, University of Castilla-La Mancha, Ciudad Real 13071, SpainDepartment of Information Systems and Technologies, University of Castilla-La Mancha, Ciudad Real 13071, SpainDepartment of Information Systems and Technologies, University of Castilla-La Mancha, Ciudad Real 13071, SpainElectroencephalography (EEG) signals analysis is non-trivial, thus tools for helping in this task are crucial. One typical step in many studies is feature extraction, however, there are not many tools focused on that aspect. In this paper, eeglib: a Python library for EEG feature extraction is presented. It includes the most popular algorithms when working with EEG and can be easily combined with popular Python libraries. This paper also presents a simple workflow for creating features dataset which allows a high degree of customization and that is suitable for both experts and newcomers.http://www.sciencedirect.com/science/article/pii/S2352711021000753EEGBiosignalsSignal analysisPython |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Luis Cabañero-Gomez Ramon Hervas Ivan Gonzalez Luis Rodriguez-Benitez |
spellingShingle |
Luis Cabañero-Gomez Ramon Hervas Ivan Gonzalez Luis Rodriguez-Benitez eeglib: A Python module for EEG feature extraction SoftwareX EEG Biosignals Signal analysis Python |
author_facet |
Luis Cabañero-Gomez Ramon Hervas Ivan Gonzalez Luis Rodriguez-Benitez |
author_sort |
Luis Cabañero-Gomez |
title |
eeglib: A Python module for EEG feature extraction |
title_short |
eeglib: A Python module for EEG feature extraction |
title_full |
eeglib: A Python module for EEG feature extraction |
title_fullStr |
eeglib: A Python module for EEG feature extraction |
title_full_unstemmed |
eeglib: A Python module for EEG feature extraction |
title_sort |
eeglib: a python module for eeg feature extraction |
publisher |
Elsevier |
series |
SoftwareX |
issn |
2352-7110 |
publishDate |
2021-07-01 |
description |
Electroencephalography (EEG) signals analysis is non-trivial, thus tools for helping in this task are crucial. One typical step in many studies is feature extraction, however, there are not many tools focused on that aspect. In this paper, eeglib: a Python library for EEG feature extraction is presented. It includes the most popular algorithms when working with EEG and can be easily combined with popular Python libraries. This paper also presents a simple workflow for creating features dataset which allows a high degree of customization and that is suitable for both experts and newcomers. |
topic |
EEG Biosignals Signal analysis Python |
url |
http://www.sciencedirect.com/science/article/pii/S2352711021000753 |
work_keys_str_mv |
AT luiscabanerogomez eeglibapythonmoduleforeegfeatureextraction AT ramonhervas eeglibapythonmoduleforeegfeatureextraction AT ivangonzalez eeglibapythonmoduleforeegfeatureextraction AT luisrodriguezbenitez eeglibapythonmoduleforeegfeatureextraction |
_version_ |
1721369006018920448 |