PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction

Computer-aided diagnosis of neural diseases from EEG signals (or other physiological signals that can be treated as time series, e.g., MEG) is an emerging field that has gained much attention in past years. Extracting features is a key component in the analysis of EEG signals. In our previous works,...

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Detalles Bibliográficos
Autores principales: Bao, Forrest Sheng, Liu, Xin, Zhang, Christina
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070217/
https://www.ncbi.nlm.nih.gov/pubmed/21512582
http://dx.doi.org/10.1155/2011/406391
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author Bao, Forrest Sheng
Liu, Xin
Zhang, Christina
author_facet Bao, Forrest Sheng
Liu, Xin
Zhang, Christina
author_sort Bao, Forrest Sheng
collection PubMed
description Computer-aided diagnosis of neural diseases from EEG signals (or other physiological signals that can be treated as time series, e.g., MEG) is an emerging field that has gained much attention in past years. Extracting features is a key component in the analysis of EEG signals. In our previous works, we have implemented many EEG feature extraction functions in the Python programming language. As Python is gaining more ground in scientific computing, an open source Python module for extracting EEG features has the potential to save much time for computational neuroscientists. In this paper, we introduce PyEEG, an open source Python module for EEG feature extraction.
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spelling pubmed-30702172011-04-21 PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction Bao, Forrest Sheng Liu, Xin Zhang, Christina Comput Intell Neurosci Research Article Computer-aided diagnosis of neural diseases from EEG signals (or other physiological signals that can be treated as time series, e.g., MEG) is an emerging field that has gained much attention in past years. Extracting features is a key component in the analysis of EEG signals. In our previous works, we have implemented many EEG feature extraction functions in the Python programming language. As Python is gaining more ground in scientific computing, an open source Python module for extracting EEG features has the potential to save much time for computational neuroscientists. In this paper, we introduce PyEEG, an open source Python module for EEG feature extraction. Hindawi Publishing Corporation 2011 2011-03-29 /pmc/articles/PMC3070217/ /pubmed/21512582 http://dx.doi.org/10.1155/2011/406391 Text en Copyright © 2011 Forrest Sheng Bao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bao, Forrest Sheng
Liu, Xin
Zhang, Christina
PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction
title PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction
title_full PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction
title_fullStr PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction
title_full_unstemmed PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction
title_short PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction
title_sort pyeeg: an open source python module for eeg/meg feature extraction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070217/
https://www.ncbi.nlm.nih.gov/pubmed/21512582
http://dx.doi.org/10.1155/2011/406391
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AT zhangchristina pyeeganopensourcepythonmoduleforeegmegfeatureextraction

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