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. 2020 Apr 22;10:6822. doi: 10.1038/s41598-020-63343-7

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Heart-rate adjusted complexity measure based on feature detection coarse-graining may detect the pro-arrhythmic background. (a) Dependence of complexity values on heart rate. Threshold used for detection is shown as dashed black line. The average vertical distance from the subject’s data points to a threshold line is used as a discriminator (inset). (b) Per-patient combined complexity/heart rate metric values. (c) Performance of PAF detection using the metric.