Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/39670
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Type: Journal article
Title: Estimating the complexity of heart rate fluctuations - an approach based on compression entropy
Author: Baumert, M.
Baier, V.
Voss, A.
Brechtel, L.
Haueisen, J.
Citation: Fluctuation and Noise Letters, 2005; 4(5):L557-L563
Publisher: World Scientific Publishing Co. Pty. Ltd.
Issue Date: 2005
ISSN: 0219-4775
1793-6780
Statement of
Responsibility: 
Mathias Baumert; Vico Baier; Andreas Voss; Lars Brechtel; Jens Haueisen
Abstract: Heart rate exhibits spontaneous fluctuations that are mainly modulated by control loops within the autonomic nervous system. Assessing the dynamics of heart rate fluctuations can provide valuable information about regulatory processes and patho-physiological behavior. In this paper heart rate fluctuations and its entropy are assessed using an algorithmic information theoretic concept applying a data compressor. First, the beat-to-beat fluctuations of heart rate are binary coded for decreases and increases, respectively. Subsequently, those symbol sequences are compressed using the LZ77 algorithm. The ratio of the length of the compressed sequences to the original length is used as an estimate of entropy. We investigated the compressibility of heart rate fluctuations in athletes before, during, and after a training camp. Heart rate time series were obtained from ECGs recorded over 30 minutes under supine resting conditions. We found a significant entropy reduction during the training camp, reflecting the effects of physical fatigue. In conclusion, the compression entropy seems to be a suitable approach to assess the complexity of heart rate fluctuations.
Description: © World Scientific Publishing Company
RMID: 0020073758
DOI: 10.1142/S0219477505003026
Published version: http://www.worldscinet.com/cgi-bin/details.cgi?id=pii:S0219477505003026&type=html
Appears in Collections:Electrical and Electronic Engineering publications

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