PyEEG : An Open Source Python Module for EEGMEG Feature Extraction
Joint Authors
Bao, Forrest Sheng
Liu, Xin
Zhang, Christina
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-03-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Bao, Forrest Sheng& Liu, Xin& Zhang, Christina. 2011. PyEEG : An Open Source Python Module for EEGMEG Feature Extraction. Computational Intelligence and Neuroscience،Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-469582
Modern Language Association (MLA)
Bao, Forrest Sheng…[et al.]. PyEEG : An Open Source Python Module for EEGMEG Feature Extraction. Computational Intelligence and Neuroscience No. 2011 (2011), pp.1-7.
https://search.emarefa.net/detail/BIM-469582
American Medical Association (AMA)
Bao, Forrest Sheng& Liu, Xin& Zhang, Christina. PyEEG : An Open Source Python Module for EEGMEG Feature Extraction. Computational Intelligence and Neuroscience. 2011. Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-469582
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469582
