An efficient method for quantifying the multichannel EEG spatial-temporal complexity
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Updated: Oct 8, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
Published on: June 15, 2018
1Department of Electrical and Control Engineering, National Chiao Tung University, Taiwan, ROC. pclo@cc.nctu.edu.tw
Abstract:
The complexity index (delta) quantifies the intrinsic dimensionality of the global complexity of a point set, and was shown to be able to characterize electroencephalogram spatial-temporal features. The complexity index is conceptually comprehensible and easily implemented, yet, it is time consuming. In this paper, we present an efficient computational method based on the projection of the high-dimensional state-space points onto a one-dimensional axis. The computational time decreases by at least 50%, without affecting the measure accuracy.

