Paper Info
Title
Bivariate point process modeling and joint non-stationary analysis of pulse transit time and heart period.
Abstract
Pulse transit time (PTT) is strictly related to pulse wave velocity and may be used for non-invasive monitoring of arterial stiffness and pressure, whose assessment is fundamental to detect cardiovascular dysfunctions. We propose a new model to characterize instantaneous PTT dynamics, and the interactions between PTT and R-R interval (RRI). In this model, PTT is described as a point process whose probability function depends on previous PTT and RRI values. From the model coefficients, instantaneous powers, coherence and directed coherence of each spectral component are estimated. We used this framework to study the changes that tilt table test provoked in PTT and RRI dynamics in 17 healthy subjects. Time-varying spectral and coherence analysis revealed that, although PTT and RRI were locally correlated, direct contribution of RRI on PTT was low during the entire test in high frequency band, and just after postural changes in low frequency band. We conclude that PTT may add valuable information for a more accurate characterization of cardiovascular regulation.
Year
DOI
Venue
2012
10.1109/EMBC.2012.6346553
EMBC
Keywords
Field
DocType
arterial stiffness,electrocardiography,photoplethysmography,tilt table test,diseases,spectral component,postural changes,instantaneous ptt dynamics,instantaneous powers,patient monitoring,cardiovascular dysfunctions,time-varying spectral analysis,cardiovascular system,physiological models,time-varying coherence analysis,model coefficients,joint nonstationary analysis,high frequency band,noninvasive monitoring,pulse wave velocity,pulse transit time,bivariate point process modeling,probability function,heart period,probability,low frequency band,cardiovascular regulation,blood pressure,heart
Spectral component,Frequency band,Remote patient monitoring,Computer science,Photoplethysmogram,Point process,Electronic engineering,Coherence (physics),Pulse wave velocity,Probability density function
Conference
Volume
ISSN
ISBN
2012
1557-170X
978-1-4577-1787-1
Citations 
PageRank 
References 
2
0.45
2
Authors
3
Name
Order
Citations
PageRank
michele orini110722.04
luca citi216827.88
Riccardo Barbieri346070.50