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PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction
Author(s) -
Forrest Sheng Bao,
Xin Liu,
Christina Zhang
Publication year - 2011
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2011/406391
Subject(s) - python (programming language) , computer science , open source , electroencephalography , feature extraction , artificial intelligence , pattern recognition (psychology) , speech recognition , software , programming language , neuroscience , psychology
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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