NDLI: Multiscale analysis of acceleration and deceleration of the instantaneous heart rate using symbolic dynamics

Content Provider	IEEE Xplore Digital Library
Author	Cysarz, D. Edelhauser, F. Van Leeuwen, P.
Copyright Year	2011
Description	Author affiliation: Integrated Curriculum for Anthroposophic Medicine (ICURAM), University of Witten/Herdecke and the Chair of Theory of Medicine, Integrative and Anthroposophic Medicine, University of Witten/Herdecke, Germany (Cysarz, D.; Edelhauser, F.) \|\| Department of Biomagnetism, Grönemeyer Institute for Microtherapy, University of Witten/Herdecke, Germany (Van Leeuwen, P.)
Abstract	The multiscale analysis of physiologic time series such as the RR interval time series has revealed that the entropy differs according to the scale. Furthermore, healthy subjects show different characteristics on the different time scales compared to patients. Instead of calculating entropies of the time series, the sequence of acceleration and deceleration of the instantaneous heart rate may also be investigated by means of binary symbolic dynamics. This kind of analysis revealed that the healthy heartbeat series also contains numerous regular binary sequences indicating runs of acceleration or deceleration. Here, we investigate whether this approach yields new information when applied to multiple time scales. We investigate the occurrence of binary patterns of length 8 on different time scales of heart rate series from healthy subjects and patients with congestive heart failure (CHF). Healthy subjects and CHF patients show different occurrences of binary patterns. These occurrences change especially on scales 1 to 5. Healthy subjects show more pronounced changes than CHF patients. At larger scales only gradual changes were observed. In conclusion, the application of binary symbolic dynamics on different scales yields new information, in particular on small scales.
Starting Page	1965
Ending Page	1968
File Size	389132
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090554
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time series analysis Entropy Heart rate Acceleration Complexity theory Physiology
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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