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  Quantifying spatiotemporal complexity of cardiac dynamics using ordinal patterns

Schlemmer, A., Berg, S., Shajahan, T. K., Luther, S., & Parlitz, U. (2015). Quantifying spatiotemporal complexity of cardiac dynamics using ordinal patterns. In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE (pp. 4049-4052).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-7BC2-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-7BC3-8
Genre: Conference Paper

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 Creators:
Schlemmer, Alexander1, Author              
Berg, Sebastian1, Author              
Shajahan, T. K.1, Author              
Luther, Stefan1, Author              
Parlitz, Ulrich1, Author              
Affiliations:
1Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063288              

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 Abstract: Analyzing the dynamics of complex excitation wave patterns in cardiac tissue plays a key role for understanding the origin of life-threatening arrhythmias and for devising novel approaches to control them. The quantification of spatiotemporal complexity, however, remains a challenging task. This holds in particular for the analysis of data from fluorescence imaging (optical mapping), which allows for the measurement of membrane potential and intracellular calcium at high spatial and temporal resolution. Hitherto methods, like dominant frequency maps and the analysis of phase singularities, address important aspects of cardiac dynamics, but they consider very specific properties of excitable media, only. This article focuses on the benchmark of spatial complexity measures over time in the context of cardiac cell cultures. Standard Shannon Entropy and Spatial Permutation Entropy, an adaption of [1], have been implemented and applied to optical mapping data from embryonic chicken cell culture experiments. We introduce spatial separation of samples when generating ordinal patterns and show its importance for Spatial Permutation Entropy. Results suggest that Spatial Permutation Entropies provide a robust and interpretable measure for detecting qualitative changes in the dynamics of this excitable medium.

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Language(s): eng - English
 Dates: 2015
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1109/EMBC.2015.7319283
BibTex Citekey: Schlemmer2015
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Title: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Place of Event: Milan
Start-/End Date: 2015-08-25 - 2015-08-29

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Title: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4049 - 4052 Identifier: -