The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Multivariate multiscale entropy: A tool for complexity analysis of multichannel data
Abstract
This work generalizes the recently introduced univariate multiscale entropy (MSE) analysis to the multivariate case. This is achieved by introducing multivariate sample entropy (MSampEn) in a rigorous way, in order to account for both within- and cross-channel dependencies in multiple data channels, and by evaluating it over multiple temporal scales. The multivariate MSE (MMSE) method is shown to provide an assessment of the underlying dynamical richness of multichannel observations, and more degrees of freedom in the analysis than standard MSE. The benefits of the proposed approach are illustrated by simulations on complexity analysis of multivariate stochastic processes and on real-world multichannel physiological and environmental data.
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Citations
Cites
Approximate entropy as a measure of system complexity.
Pincus, S. M. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.6.2297 · Cited by 5,811
Multiscale Entropy Analysis of Complex Physiologic Time Series
Costa, M., Goldberger, A. L., & Peng, C.-K. (2002) · Physical Review Letters · doi:10.1103/physrevlett.89.068102 · Cited by 3,207
Cited by
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals
(2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2679136 · Cited by 319
On the use of approximate entropy and sample entropy with centre of pressure time-series
Montesinos, L., Castaldo, R., & Pecchia, L. (2018) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-018-0465-9 · Cited by 172
Hearables: Automatic Overnight Sleep Monitoring With Standardized In-Ear EEG Sensor
Nakamura, T., Alqurashi, Y. D., Morrell, M. J., & Mandic, D. P. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2911423 · Cited by 147
Self-citationRen, W., & Jin, N. (2019) · Nonlinear Dynamics · doi:10.1007/s11071-019-05147-7 · Cited by 30
Multiscale Cross-Approximate Entropy Analysis as a Measure of Complexity among the Aged and Diabetic
Wu, H.-T., Liu, C.-C., Lo, M.-T., Hsu, P.-C., Liu, A.-B., Chang, K.-Y., & Tang, C.-J. (2013) · Computational and Mathematical Methods in Medicine · doi:10.1155/2013/324325 · Cited by 29
Metadata
- Authors
- Ahmed, M. U., & Mandic, D. P.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2011-12-27
- Volume
- 84
- Issue
- 6
- Pages
- 061918-061918
- ISSN
- 1539-3755 (ISSN-L)
- 1550-2376
- OpenAlex
- W2068199737
- Cited by
- 345
- References
- 2
- FWCI
- 24.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ahmed, M. U., & Mandic, D. P. (2011). Multivariate multiscale entropy: A tool for complexity analysis of multichannel data. Physical Review E. https://doi.org/10.1103/physreve.84.061918
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