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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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Published in: | Journal of clinical monitoring and computing 2008-04, Vol.22 (2), p.141-147 |
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creator | Foo, Jong Yong A. Wilson, Stephen J. Wang, Ping |
description | 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 (
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doi_str_mv | 10.1007/s10877-008-9115-2 |
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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 (
r
2
= 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.</description><identifier>ISSN: 1387-1307</identifier><identifier>EISSN: 1573-2614</identifier><identifier>DOI: 10.1007/s10877-008-9115-2</identifier><identifier>PMID: 18350369</identifier><identifier>CODEN: JCMCFG</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>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</subject><ispartof>Journal of clinical monitoring and computing, 2008-04, Vol.22 (2), p.141-147</ispartof><rights>Springer Science+Business Media, LLC 2008</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3452-bfcb99cf394ce4db51a5585afd0e9be3cd66213cdfd36567ec4e5e6dfbc67a723</citedby><cites>FETCH-LOGICAL-c3452-bfcb99cf394ce4db51a5585afd0e9be3cd66213cdfd36567ec4e5e6dfbc67a723</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20254179$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18350369$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Foo, Jong Yong A.</creatorcontrib><creatorcontrib>Wilson, Stephen J.</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><title>Factors that Affect Pulse Wave Time Transmission in the Monitoring of Cardiovascular System</title><title>Journal of clinical monitoring and computing</title><addtitle>J Clin Monit Comput</addtitle><addtitle>J Clin Monit Comput</addtitle><description>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 (
r
2
= 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.</description><subject>Adult</subject><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Anesthesiology</subject><subject>Biological and medical sciences</subject><subject>Blood and lymphatic vessels</subject><subject>Blood Circulation Time - methods</subject><subject>Blood Pressure Determination</subject><subject>Cardiology. Vascular system</subject><subject>Critical Care Medicine</subject><subject>Diseases of the peripheral vessels. Diseases of the vena cava. Miscellaneous</subject><subject>Female</subject><subject>Health Sciences</subject><subject>Heart Rate - physiology</subject><subject>Humans</subject><subject>Intensive</subject><subject>Intensive care medicine</subject><subject>Linear Models</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Myocardial Contraction - physiology</subject><subject>Phonocardiography</subject><subject>Photoplethysmography</subject><subject>Pulse</subject><subject>Statistics for Life Sciences</subject><subject>Upper Extremity - physiology</subject><issn>1387-1307</issn><issn>1573-2614</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqFkU1rFTEUhoMotlZ_gBsJgu5Gc_I5syyXVoWKghUXLkImc6IpM5NrMlPovzfDvVgQxE1OFs85eXMeQp4DewOMmbcFWGtMw1jbdACq4Q_IKSgjGq5BPqx30ZoGBDMn5EkpN4yxrhXwmJxAKxQTujsl3y-dX1IudPnpFnoeAvqFfl7HgvSbu0V6Had6ZDeXKZYS00zjXFmkH9Mca2Ocf9AU6M7lIaZbV_w6uky_3JUFp6fkUXB10rNjPSNfLy-ud--bq0_vPuzOrxovpOJNH3zfdT6ITnqUQ6_AKdUqFwaGXY_CD1pzqCUMQitt0EtUqIfQe22c4eKMvD7M3ef0a8Wy2JrV4zi6GdNarGFSc87Ff0HBWy61NBV8-Rd4k9Y8109YDgaE4Z2qEBwgn1MpGYPd5zi5fGeB2c2PPfix1Y_d_Ngt6ovj4LWfcLjvOAqpwKsjUHfpxlA372P5w3HGlQSzcfzAlf3mAPN9wn-__hsw6qgv</recordid><startdate>200804</startdate><enddate>200804</enddate><creator>Foo, Jong Yong A.</creator><creator>Wilson, Stephen J.</creator><creator>Wang, Ping</creator><general>Springer Netherlands</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7SC</scope><scope>7SP</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>200804</creationdate><title>Factors that Affect Pulse Wave Time Transmission in the Monitoring of Cardiovascular System</title><author>Foo, Jong Yong A. ; Wilson, Stephen J. ; Wang, Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3452-bfcb99cf394ce4db51a5585afd0e9be3cd66213cdfd36567ec4e5e6dfbc67a723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adult</topic><topic>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Anesthesiology</topic><topic>Biological and medical sciences</topic><topic>Blood and lymphatic vessels</topic><topic>Blood Circulation Time - methods</topic><topic>Blood Pressure Determination</topic><topic>Cardiology. Vascular system</topic><topic>Critical Care Medicine</topic><topic>Diseases of the peripheral vessels. Diseases of the vena cava. Miscellaneous</topic><topic>Female</topic><topic>Health Sciences</topic><topic>Heart Rate - physiology</topic><topic>Humans</topic><topic>Intensive</topic><topic>Intensive care medicine</topic><topic>Linear Models</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Myocardial Contraction - physiology</topic><topic>Phonocardiography</topic><topic>Photoplethysmography</topic><topic>Pulse</topic><topic>Statistics for Life Sciences</topic><topic>Upper Extremity - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Foo, Jong Yong A.</creatorcontrib><creatorcontrib>Wilson, Stephen J.</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical monitoring and computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Foo, Jong Yong A.</au><au>Wilson, Stephen J.</au><au>Wang, Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors that Affect Pulse Wave Time Transmission in the Monitoring of Cardiovascular System</atitle><jtitle>Journal of clinical monitoring and computing</jtitle><stitle>J Clin Monit Comput</stitle><addtitle>J Clin Monit Comput</addtitle><date>2008-04</date><risdate>2008</risdate><volume>22</volume><issue>2</issue><spage>141</spage><epage>147</epage><pages>141-147</pages><issn>1387-1307</issn><eissn>1573-2614</eissn><coden>JCMCFG</coden><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 (
r
2
= 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.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>18350369</pmid><doi>10.1007/s10877-008-9115-2</doi><tpages>7</tpages></addata></record> |
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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 |
title | Factors that Affect Pulse Wave Time Transmission in the Monitoring of Cardiovascular System |
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