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

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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Main Authors: Forrest Sheng Bao, Xin Liu, Christina Zhang
Format: Article
Language:English
Published: Hindawi Limited 2011-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2011/406391
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spelling doaj-f81949e4d88449aaa993810e6741e9162020-11-24T23:15:16ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732011-01-01201110.1155/2011/406391406391PyEEG: An Open Source Python Module for EEG/MEG Feature ExtractionForrest Sheng Bao0Xin Liu1Christina Zhang2Department of Computer Science, Department of Electrical Engineering, Texas Tech University, Lubbock TX 79409-3104, USAECHO Labs, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaDepartment of Physiology, McGill University, Montreal, QC, H3G 1Y6, CanadaComputer-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.http://dx.doi.org/10.1155/2011/406391
collection DOAJ
language English
format Article
sources DOAJ
author Forrest Sheng Bao
Xin Liu
Christina Zhang
spellingShingle Forrest Sheng Bao
Xin Liu
Christina Zhang
PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction
Computational Intelligence and Neuroscience
author_facet Forrest Sheng Bao
Xin Liu
Christina Zhang
author_sort Forrest Sheng Bao
title 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_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_sort pyeeg: an open source python module for eeg/meg feature extraction
publisher Hindawi Limited
series Computational Intelligence and Neuroscience
issn 1687-5265
1687-5273
publishDate 2011-01-01
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.
url http://dx.doi.org/10.1155/2011/406391
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AT xinliu pyeeganopensourcepythonmoduleforeegmegfeatureextraction
AT christinazhang pyeeganopensourcepythonmoduleforeegmegfeatureextraction
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