Title :
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
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;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2010.2083661
