期刊
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
卷 14, 期 2, 页码 693-703出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0218127404009387
关键词
time series analysis; EEG analysis; symbolic dynamics; contingency; correspondence analysis
In this note we describe a simple method for visualizing time-dependent similarities and dissimilarities between the components of a high-dimensional time series. On the base of symbolic dynamics, the time series is turned into a series of matrices whose rows quantify pattern types in the components of the original series. For different scales we introduce distances between the components via the obtained pattern type distributions and approximate them in a one-dimensional manner. The method is illustrated for 19-channel EEG data.
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