Classification of physiologic and synthetic heart rate variability series using base-scale entropy

Jin Li and Xinbao Ning

Physica A: Statistical Mechanics and its Applications, 2007, vol. 384, issue 2, 423-428

Abstract: The base-scale entropy method was used as a measure to classify physiologic and synthetic heart rate variability series. This method enables analyzing very short, non-stationary, and noisy data. We used it to analyze short-term heart rate variability series. The results show that our method can effectively detect the complex dissimilarity of physiologic time series in different physiologic/pathologic states. We then applied it to the CinC 2002 test datasets. Using the base-scale entropy, we correctly classified 43 of 46 (93%) time series. In combination with time domain analysis, we correctly classified all time series.

Keywords: Base-scale entropy; Heart rate variability; Synthetic series (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:384:y:2007:i:2:p:423-428

DOI: 10.1016/j.physa.2007.02.089

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