Factors that Affect Pulse Wave Time Transmission in the Monitoring of Cardiovascular System

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 condu...

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Bibliographic Details
Published in:Journal of clinical monitoring and computing 2008-04, Vol.22 (2), p.141-147
Main Authors: Foo, Jong Yong A., Wilson, Stephen J., Wang, Ping
Format: Article
Language:English
Subjects:
Adult
Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy
Anesthesiology
Biological and medical sciences
Blood and lymphatic vessels
Blood Circulation Time - methods
Blood Pressure Determination
Cardiology. Vascular system
Critical Care Medicine
Diseases of the peripheral vessels. Diseases of the vena cava. Miscellaneous
Female
Health Sciences
Heart Rate - physiology
Humans
Intensive
Intensive care medicine
Linear Models
Male
Medical sciences
Medicine
Medicine & Public Health
Myocardial Contraction - physiology
Phonocardiography
Photoplethysmography
Pulse
Statistics for Life Sciences
Upper Extremity - physiology
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Summary: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 
ISSN:1387-1307
1573-2614
DOI:10.1007/s10877-008-9115-2