Abstract
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. © 2011 Forrest Sheng Bao et al.
Cite
CITATION STYLE
Bao, F. S., Liu, X., & Zhang, C. (2011). PyEEG: An open source python module for EEG/MEG feature extraction. Computational Intelligence and Neuroscience, 2011. https://doi.org/10.1155/2011/406391
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