Title :
The evaluation of sBRR sequence random occurrences: A model for surrogate data
Author :
Turukalo, Tatjana Loncar ; Bajic, D.
Author_Institution :
Dept. of Telecommun. & Signal Process., Univ. of Novi Sad, Novi Sad, Serbia
Abstract :
The real-time monitoring and analysis of cardiovascular oscillations are used in everyday clinical practice. Their analyses could uncover the mutual interactions of the key variables: RR intervals, and systolic blood pressure (SBP). The sequence method is used for the analysis of the baroreflex RR-SBP relationship in order to estimate the gain of the baroreflex (BRR) feedback loop. The model proposed serves as an auxiliary tool for the sequence method technique in the domain of isodistributional (ID) surrogate data testing. The model is in the form of a finite, ergodic Markov chain delivering the formulae for the temporal sequence parameters (distribution, length, and number of sequences) in ID surrogate data. The analytical tool provided measures the degree of randomness in sequences estimated from the original RR-SBP time series.
Keywords :
Markov processes; cardiovascular system; feedback; medical signal processing; random sequences; BRR feedback loop; ID surrogate data testing; RR intervals; baroreflex RR-SBP relationship analysis; baroreflex feedback loop; cardiovascular oscillation analysis; cardiovascular signals; finite ergodic Markov chain; isodistributional surrogate data testing; real-time monitoring; sBRR sequence random occurrence evaluation; sequence method technique; surrogate data model; systolic blood pressure; temporal sequence parameters; Baroreflex; Biomedical monitoring; Data models; Electrocardiography; Heart rate; Markov processes; Time series analysis; Markov processes; cardiovascular signals; sequence technique; surrogate data;
Conference_Titel :
Telecommunications Forum (TELFOR), 2012 20th
Conference_Location :
Belgrade
Print_ISBN :
978-1-4673-2983-5
DOI :
10.1109/TELFOR.2012.6419327
