eeglib: A Python module for EEG feature extraction
| Autor: | Luis Cabañero-Gomez, Ramon Hervas, Ivan Gonzalez, Luis Rodriguez-Benitez |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | SoftwareX, Vol 15, Iss , Pp 100745- (2021) |
| Druh dokumentu: | article |
| ISSN: | 2352-7110 76863239 |
| DOI: | 10.1016/j.softx.2021.100745 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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