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

被引：95

作者：

Bao, Forrest Sheng ^{[1
]}

Liu, Xin ^{[2
]}

Zhang, Christina ^{[3
]}

机构：

[1] Texas Tech Univ, Dept Elect Engn, Dept Comp Sci, Lubbock, TX 79409 USA

[2] Nanjing Univ Posts & Telecommunicat, ECHO Labs, Nanjing 210003, Jiangsu, Peoples R China

[3] McGill Univ, Dept Phytol, Montreal, PQ H3G 1Y6, Canada

来源：

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE | 2011年 / 2011卷

关键词：

ALZHEIMERS-DISEASE; EEG; QUANTIFICATION; ENTROPY;

D O I：

10.1155/2011/406391

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

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.

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