NDLI: Markov model and entropy of sequences in isodistributional surrogate data

Content Provider	IEEE Xplore Digital Library
Author	Loncar-Turukalo, T. Milovanovic, B. Bajic, D.
Copyright Year	2010
Description	Author affiliation: Laboratory for Neurocardiology, University Hospital Centre “Bezanijska kosa”, Belgrade, Serbia (Milovanovic, B.) \|\| Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia (Loncar-Turukalo, T.; Bajic, D.)
Abstract	Surrogate data method is commonly required to confirm the non-accidental nature of simultaneous fluctuations of heart rate (HR) and blood pressure (BP) due to the spontaneous baroreceptor reflex (sBRR) mechanism. Previously proposed finite, ergodic Markov model with memory, enables derivation of all BRR temporal parameters for isodistributional (ID) surrogate data in closed form, thus eliminating the need for surrogate generation and analysis. The goodness of fit for surrogate time series of 37 healthy humans is tested. The expected values provided by the model showed excellent accordance with calculated time averages. Besides, the study introduces a new feature of sBRR entropy.
Starting Page	53
Ending Page	56
File Size	499794
Page Count	4
File Format	PDF
ISBN	9781424473946
e-ISBN	9781424473960
DOI	10.1109/SISY.2010.5647144
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-10
Publisher Place	Serbia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Time series analysis Baroreflex Markov processes Entropy Data models Cardiology
Content Type	Text
Resource Type	Article

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