Factors that affect pulse wave time transmission in the monitoring of cardiovascular system

Foo, J.Y.A, Wilson, S.J. and Wang, P. (2008) Factors that affect pulse wave time transmission in the monitoring of cardiovascular system. Journal of Clinical Monitoring and Computing, 22 2: 141-147. doi:10.1007/s10877-008-9115-2

Author Foo, J.Y.A
Wilson, S.J.
Wang, P.
Title Factors that affect pulse wave time transmission in the monitoring of cardiovascular system
Journal name Journal of Clinical Monitoring and Computing   Check publisher's open access policy
ISSN 1387-1307
Publication date 2008-04-01
Sub-type Article (original research)
DOI 10.1007/s10877-008-9115-2
Open Access Status
Volume 22
Issue 2
Start page 141
End page 147
Total pages 7
Editor Lanza, V.
Place of publication Netherlands
Publisher Springer Netherlands
Language eng
Subject C1
730106 Cardiovascular system and diseases
970109 Expanding Knowledge in Engineering
090303 Biomedical Instrumentation
Abstract Objectives. Vascular transit time (VTT) can be defined as the first heart sound of the phonocardiography (PCG) signal to its arrival at the photoplethysmography (PPG). Studies have shown that monitoring VTT can be useful as an early prognosis of cardiac diseases. However, there is limited study conducted to understand the physiologic factors that affect VTT at the upper limb. In this study, the effect associated with difference in subject height, weight, heart rate, mean arterial pressure, systolic and diastolic blood pressure was assessed. Methods. A study population of 31 healthy Chinese young adults (21 male; age range 20-33 yr) were recruited. PCG and PPG were recorded non-invasively from the fourth costal cartilage at the midclavicular line and right index finger, respectively. A single sample Kolmogorov-Smirnov (K-S) goodness-of-fit hypothesis test, a univariate linear regression analysis, and a multiple linear regression modelling were performed on the VTT measurements and the associated physiologic parameters. Results. The results from the K-S test showed that the physiologic parameters and VTT measurements had a normal cumulative distribution function. Furthermore, all physiologic parameters were significantly and independently related to VTT (P < 0.05). Based on these physiological parameters, a VTT regression model was also derived (r2 = 0.79). Conclusions. The findings herein suggest that the observed physiologic parameters have significant contributions to the nominal VTT value of a subject. Unlike pulse transit time, the VTT technique has the added advantage that the left ventricular isometric contraction time is not included in the timing derivation.
Keyword Arterial Function
blood pressure
pulse transmission
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
School of Information Technology and Electrical Engineering Publications
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Created: Tue, 14 Apr 2009, 02:18:35 EST by Ms Kimberley Nunes on behalf of School of Information Technol and Elec Engineering