ordinal patterns, entropy, and eeg
Abstract
In this paper we illustrate the potential of ordinal-patterns-based methods for analysis of real-world data and, especially, of electroencephalogram (EEG) data. We apply already known (empirical permutation entropy, ordinal pattern distributions) and new (empirical conditional entropy of ordinal patterns, robust to noise empirical permutation entropy) methods for measuring complexity, segmentation and classification of time series.
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163026
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0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
163026
Unique Identifier:
10.3390/e16126212
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Scimatic Chain (ID: 481)
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