文章基本信息

标题：PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction
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作者：Forrest Sheng Bao ; Xin Liu ; Christina Zhang 等
期刊名称：Computational Intelligence and Neuroscience
印刷版ISSN：1687-5265
电子版ISSN：1687-5273
出版年度：2011
卷号：2011
DOI：10.1155/2011/406391
出版社：Hindawi Publishing Corporation
摘要：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.