Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm
Second heart sound (S2) splitting results from nonsimultaneous closures between aortic (A2) and pulmonic valves (P2) and may be used to detect timing differences (dyssynchrony) in relaxation between right (RV) and left ventricle (LV). However, overlap of A2 and P2 and the change in heart sound morph...
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| creator | Luo, Hongxing Westphal, Philip Shahmohammadi, Mehrdad Heckman, Luuk I. B. Kuiper, Marion Cornelussen, Richard N. Delhaas, Tammo Prinzen, Frits W. |
| description | Second heart sound (S2) splitting results from nonsimultaneous closures between aortic (A2) and pulmonic valves (P2) and may be used to detect timing differences (dyssynchrony) in relaxation between right (RV) and left ventricle (LV). However, overlap of A2 and P2 and the change in heart sound morphologies have complicated detection of the S2 splitting interval. This study introduces a novel S‐transform amplitude ridge tracking (START) algorithm for estimating S2 splitting interval and investigates the relationship between S2 splitting and interventricular relaxation dyssynchrony (IRD). First, the START algorithm was validated in a simulated model of heart sound. It showed small errors ( |
| doi_str_mv | 10.14814/phy2.14687 |
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We introduce an S‐transform amplitude ridge tracking (START) algorithm for estimation of 2nd heart sound (S2) splitting and investigated the relationship between S2 splitting and time difference in contraction between right and left ventricle in a porcine model. START was accurate in estimating S2 splitting interval in chirp‐model‐generated heart sounds. S2 splitting correlated well in pacing‐induced time differences in contraction of the ventricles in an animal model.</description><identifier>EISSN: 2051-817X</identifier><identifier>DOI: 10.14814/phy2.14687</identifier><identifier>PMID: 33400386</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Algorithms ; Analysis ; Animals ; Aorta ; cardiac dyssynchrony ; Echocardiography, Doppler - methods ; Experiments ; General anesthesia ; Heart ; Heart Failure - diagnostic imaging ; Heart Failure - physiopathology ; heart sound ; Heart Sounds ; Male ; Original Research ; Ostomy ; pacing therapy ; Physiology ; Signal processing ; Sound ; Splitting ; Swine ; S‐transform ; Ventricle ; Ventricular Dysfunction - diagnostic imaging ; Ventricular Dysfunction - physiopathology ; Wavelet transforms</subject><ispartof>Physiological Reports, 2021-01, Vol.9 (1), p.e14687-n/a</ispartof><rights>2021 The Authors. published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society</rights><rights>2021 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society.</rights><rights>COPYRIGHT 2021 John Wiley & Sons, Inc.</rights><rights>2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5197-ff80926afed994aa72065d8b8dc72289e0e166dd250168615b5989d2bbf172b73</citedby><cites>FETCH-LOGICAL-c5197-ff80926afed994aa72065d8b8dc72289e0e166dd250168615b5989d2bbf172b73</cites><orcidid>0000-0001-8917-9032</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785055/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785055/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1411,11542,27903,27904,45553,45554,46030,46454,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33400386$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Luo, Hongxing</creatorcontrib><creatorcontrib>Westphal, Philip</creatorcontrib><creatorcontrib>Shahmohammadi, Mehrdad</creatorcontrib><creatorcontrib>Heckman, Luuk I. B.</creatorcontrib><creatorcontrib>Kuiper, Marion</creatorcontrib><creatorcontrib>Cornelussen, Richard N.</creatorcontrib><creatorcontrib>Delhaas, Tammo</creatorcontrib><creatorcontrib>Prinzen, Frits W.</creatorcontrib><title>Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm</title><title>Physiological Reports</title><addtitle>Physiol Rep</addtitle><description>Second heart sound (S2) splitting results from nonsimultaneous closures between aortic (A2) and pulmonic valves (P2) and may be used to detect timing differences (dyssynchrony) in relaxation between right (RV) and left ventricle (LV). However, overlap of A2 and P2 and the change in heart sound morphologies have complicated detection of the S2 splitting interval. This study introduces a novel S‐transform amplitude ridge tracking (START) algorithm for estimating S2 splitting interval and investigates the relationship between S2 splitting and interventricular relaxation dyssynchrony (IRD). First, the START algorithm was validated in a simulated model of heart sound. It showed small errors (<5 ms) in estimating splitting intervals from 10 to 70 ms, with A2/P2 amplitude ratios from 0.2 to 5, and signal‐to‐noise ratios from 10 to 30 dB. Subsequently, the START algorithm was evaluated in a porcine model employing a wide range of paced RV‐LV delays. IRD was quantified by the time difference between invasively measured LV and RV pressure downslopes. Between LV pre‐excitation to RV pre‐excitation, mean S2 splitting interval decreased from 47 ms to 23 ms (p < .001), accompanied by a decrease in mean IRD from 8 ms to −18 ms (p < .001). S2 splitting interval was significantly correlated with IRD in each experiment (p < .001). In conclusion, the START algorithm can accurately assess S2 splitting and may serve as a useful tool to assess interventricular dyssynchrony.
We introduce an S‐transform amplitude ridge tracking (START) algorithm for estimation of 2nd heart sound (S2) splitting and investigated the relationship between S2 splitting and time difference in contraction between right and left ventricle in a porcine model. START was accurate in estimating S2 splitting interval in chirp‐model‐generated heart sounds. S2 splitting correlated well in pacing‐induced time differences in contraction of the ventricles in an animal model.</description><subject>Algorithms</subject><subject>Analysis</subject><subject>Animals</subject><subject>Aorta</subject><subject>cardiac dyssynchrony</subject><subject>Echocardiography, Doppler - methods</subject><subject>Experiments</subject><subject>General anesthesia</subject><subject>Heart</subject><subject>Heart Failure - diagnostic imaging</subject><subject>Heart Failure - physiopathology</subject><subject>heart sound</subject><subject>Heart Sounds</subject><subject>Male</subject><subject>Original Research</subject><subject>Ostomy</subject><subject>pacing therapy</subject><subject>Physiology</subject><subject>Signal processing</subject><subject>Sound</subject><subject>Splitting</subject><subject>Swine</subject><subject>S‐transform</subject><subject>Ventricle</subject><subject>Ventricular Dysfunction - diagnostic imaging</subject><subject>Ventricular Dysfunction - physiopathology</subject><subject>Wavelet transforms</subject><issn>2051-817X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9ksFrFTEQxhdBbKk9eZeAF0FeTbKbTfYilKJWKCiooKeQTWbfpmSTZ5J9snf_cPPe1lI9SA6ZJL_5Jh8zVfWM4AvSCNK83o0LLWEr-KPqlGJGNoLwbyfVeUq3GGOC67rDzZPqpK4bjGvRnla_PoMO3qARVMwohbnEaedsztZvkUpIeWS9sVrlEFEYyiFD3IPP0erZqYgm0KPyBXDILCktXo8x-AXN6aiAfNiDe6BpIIPONnik3DZEm8fpafV4UC7B-d1-Vn199_bL1fXm5uP7D1eXNxvNSMc3wyBwR1s1gOm6RilOccuM6IXRnFLRAQbStsZQhkkrWsJ61onO0L4fCKc9r8-qN6vubu4nMPrgQjm5i3ZScZFBWfn3i7ej3Ia95FwwzFgReHknEMOPGVKWk00anFMewpwkbThrMCU1LeiLf9DbMEdf7B0oLjjnpC3UxUptlQNp_RBKXV2WgcmWxsBgy_0lL_3ihDNcEl6tCTqGlCIM978nWB6nQB6mQB6noNDPHxq-Z__0vwB0BX6WOsv_tOSn6-90Vf0NK3nCNQ</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Luo, Hongxing</creator><creator>Westphal, Philip</creator><creator>Shahmohammadi, Mehrdad</creator><creator>Heckman, Luuk I. B.</creator><creator>Kuiper, Marion</creator><creator>Cornelussen, Richard N.</creator><creator>Delhaas, Tammo</creator><creator>Prinzen, Frits W.</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</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>IAO</scope><scope>3V.</scope><scope>7QP</scope><scope>7T5</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8917-9032</orcidid></search><sort><creationdate>202101</creationdate><title>Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm</title><author>Luo, Hongxing ; Westphal, Philip ; Shahmohammadi, Mehrdad ; Heckman, Luuk I. B. ; Kuiper, Marion ; Cornelussen, Richard N. ; Delhaas, Tammo ; Prinzen, Frits W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5197-ff80926afed994aa72065d8b8dc72289e0e166dd250168615b5989d2bbf172b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Analysis</topic><topic>Animals</topic><topic>Aorta</topic><topic>cardiac dyssynchrony</topic><topic>Echocardiography, Doppler - methods</topic><topic>Experiments</topic><topic>General anesthesia</topic><topic>Heart</topic><topic>Heart Failure - diagnostic imaging</topic><topic>Heart Failure - physiopathology</topic><topic>heart sound</topic><topic>Heart Sounds</topic><topic>Male</topic><topic>Original Research</topic><topic>Ostomy</topic><topic>pacing therapy</topic><topic>Physiology</topic><topic>Signal processing</topic><topic>Sound</topic><topic>Splitting</topic><topic>Swine</topic><topic>S‐transform</topic><topic>Ventricle</topic><topic>Ventricular Dysfunction - diagnostic imaging</topic><topic>Ventricular Dysfunction - physiopathology</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luo, Hongxing</creatorcontrib><creatorcontrib>Westphal, Philip</creatorcontrib><creatorcontrib>Shahmohammadi, Mehrdad</creatorcontrib><creatorcontrib>Heckman, Luuk I. B.</creatorcontrib><creatorcontrib>Kuiper, Marion</creatorcontrib><creatorcontrib>Cornelussen, Richard N.</creatorcontrib><creatorcontrib>Delhaas, Tammo</creatorcontrib><creatorcontrib>Prinzen, Frits W.</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science 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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Physiological Reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luo, Hongxing</au><au>Westphal, Philip</au><au>Shahmohammadi, Mehrdad</au><au>Heckman, Luuk I. B.</au><au>Kuiper, Marion</au><au>Cornelussen, Richard N.</au><au>Delhaas, Tammo</au><au>Prinzen, Frits W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm</atitle><jtitle>Physiological Reports</jtitle><addtitle>Physiol Rep</addtitle><date>2021-01</date><risdate>2021</risdate><volume>9</volume><issue>1</issue><spage>e14687</spage><epage>n/a</epage><pages>e14687-n/a</pages><eissn>2051-817X</eissn><abstract>Second heart sound (S2) splitting results from nonsimultaneous closures between aortic (A2) and pulmonic valves (P2) and may be used to detect timing differences (dyssynchrony) in relaxation between right (RV) and left ventricle (LV). However, overlap of A2 and P2 and the change in heart sound morphologies have complicated detection of the S2 splitting interval. This study introduces a novel S‐transform amplitude ridge tracking (START) algorithm for estimating S2 splitting interval and investigates the relationship between S2 splitting and interventricular relaxation dyssynchrony (IRD). First, the START algorithm was validated in a simulated model of heart sound. It showed small errors (<5 ms) in estimating splitting intervals from 10 to 70 ms, with A2/P2 amplitude ratios from 0.2 to 5, and signal‐to‐noise ratios from 10 to 30 dB. Subsequently, the START algorithm was evaluated in a porcine model employing a wide range of paced RV‐LV delays. IRD was quantified by the time difference between invasively measured LV and RV pressure downslopes. Between LV pre‐excitation to RV pre‐excitation, mean S2 splitting interval decreased from 47 ms to 23 ms (p < .001), accompanied by a decrease in mean IRD from 8 ms to −18 ms (p < .001). S2 splitting interval was significantly correlated with IRD in each experiment (p < .001). In conclusion, the START algorithm can accurately assess S2 splitting and may serve as a useful tool to assess interventricular dyssynchrony.
We introduce an S‐transform amplitude ridge tracking (START) algorithm for estimation of 2nd heart sound (S2) splitting and investigated the relationship between S2 splitting and time difference in contraction between right and left ventricle in a porcine model. START was accurate in estimating S2 splitting interval in chirp‐model‐generated heart sounds. S2 splitting correlated well in pacing‐induced time differences in contraction of the ventricles in an animal model.</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>33400386</pmid><doi>10.14814/phy2.14687</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-8917-9032</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Analysis Animals Aorta cardiac dyssynchrony Echocardiography, Doppler - methods Experiments General anesthesia Heart Heart Failure - diagnostic imaging Heart Failure - physiopathology heart sound Heart Sounds Male Original Research Ostomy pacing therapy Physiology Signal processing Sound Splitting Swine S‐transform Ventricle Ventricular Dysfunction - diagnostic imaging Ventricular Dysfunction - physiopathology Wavelet transforms |
| title | Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm |
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