Temporal Sequence Parameters in Isodistributional Surrogate Data: Model and Exact Expressions

Author

Turukalo, Tatjana Loncar ; Bajic, Dragana ; Zigon, Nina Japundzic

Author_Institution

Fac. of Tech. Sci., Dept. of Commun. & Signal Process., Univ. of Novi Sad, Novi Sad, Serbia

Volume

58

Issue

1

fYear

2011

Firstpage

16

Lastpage

24

Abstract

In this paper, a set of formulae for the temporal spontaneous baroreceptor reflex (sBRR) sequence parameters in isodistributional (ID) surrogate data is derived. This is facilitated by representing successive positive or negative amplitude changes as a Markov chain model. The obtained analytical tool measures the effect of random fluctuations on the overall number of sequences, estimated from the original biomedical time series. The formulae are tested using ID surrogates of systolic blood pressure and pulse-interval signals recorded from 13 healthy male Wistar rats at baseline conditions.

Keywords

Markov processes; haemodynamics; mechanoception; Markov chain model; Wistar rats; biomedical time series; isodistributional surrogate data; pulse-interval signals; sBRR sequence parameters; systolic blood pressure; temporal sequence parameters; temporal spontaneous baroreceptor reflex; Baroreflex; Correlation; Data models; Gaussian distribution; Markov processes; Time series analysis; First passage time; markov processes; sequences; spontaneous baroreceptor reflex (sBBR); surrogate data; Algorithms; Analysis of Variance; Animals; Baroreflex; Blood Pressure; Male; Markov Chains; Models, Biological; Rats; Rats, Wistar; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2010.2083661

Filename

5594622