Name: Generalized Multiscale Entropy Analysis
Published: Feb. 2, 2019
License: https://opendatacommons.org/licenses/by/index.html

Software Open Access

Published: Feb. 2, 2019. Version: 1.0.0

Please include the standard citation for PhysioNet: (show more options)
Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220. RRID:SCR_007345.

APA	Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220. RRID:SCR_007345.
MLA	Goldberger, A., et al. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000). RRID:SCR_007345.
CHICAGO	Goldberger, A., L. Amaral, L. Glass, J. Hausdorff, P. C. Ivanov, R. Mark, J. E. Mietus, G. B. Moody, C. K. Peng, and H. E. Stanley. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000). RRID:SCR_007345.
HARVARD	Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P.C., Mark, R., Mietus, J.E., Moody, G.B., Peng, C.K. and Stanley, H.E., 2000. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220. RRID:SCR_007345.
VANCOUVER	Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov PC, Mark R, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220. RRID:SCR_007345.

The method of generalized multiscale entropy (GMSE) analysis is useful for investigating complexity in physiologic signals and other series that have correlations at multiple (time) scales. It represents a generalization of the original method of multiscale entropy analysis.

A tutorial about generalized multiscale entropy analysis is available in the tutorial directory. It discusses various methods for calculating a coarse-grained time series, and the impact of this choice on the multiscale entropy calculation. The results are illustrated using simulated data as well as real inter-beat interval data.

The software described in the tutorial in is gmse.c.

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Topics:
entropy complexity

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wget -r -N -c -np https://physionet.org/files/gmse/1.0.0/

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Name	Size	Modified
tutorial
Tutorial_Fig1-orig.pdf (download)	70.2 KB	2019-04-12
Tutorial_Fig1.pdf (download)	69.2 KB	2019-04-12
Tutorial_Fig2.pdf (download)	26.7 KB	2019-04-12
Tutorial_Fig3.pdf (download)	20.7 KB	2019-04-12
Tutorial_Fig4.pdf (download)	164.5 KB	2019-04-12
Tutorial_Fig5.pdf (download)	26.9 KB	2019-04-12
Tutorial_Fig6.pdf (download)	149.6 KB	2019-04-12
gmse-tutorial.tex (download)	30.9 KB	2019-04-12
gmse.c (download)	13.9 KB	2019-04-12
latex2html-init (download)	8.7 KB	2019-04-12

Generalized Multiscale Entropy Analysis

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