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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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Autores principales: Luo, Hongxing, Westphal, Philip, Shahmohammadi, Mehrdad, Heckman, Luuk I. B., Kuiper, Marion, Cornelussen, Richard N., Delhaas, Tammo, Prinzen, Frits W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785055/
https://www.ncbi.nlm.nih.gov/pubmed/33400386
http://dx.doi.org/10.14814/phy2.14687
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author Luo, Hongxing
Westphal, Philip
Shahmohammadi, Mehrdad
Heckman, Luuk I. B.
Kuiper, Marion
Cornelussen, Richard N.
Delhaas, Tammo
Prinzen, Frits W.
author_facet Luo, Hongxing
Westphal, Philip
Shahmohammadi, Mehrdad
Heckman, Luuk I. B.
Kuiper, Marion
Cornelussen, Richard N.
Delhaas, Tammo
Prinzen, Frits W.
author_sort Luo, Hongxing
collection PubMed
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.
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spelling pubmed-77850552021-01-08 Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm Luo, Hongxing Westphal, Philip Shahmohammadi, Mehrdad Heckman, Luuk I. B. Kuiper, Marion Cornelussen, Richard N. Delhaas, Tammo Prinzen, Frits W. Physiol Rep Original Research 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. John Wiley and Sons Inc. 2021-01-05 /pmc/articles/PMC7785055/ /pubmed/33400386 http://dx.doi.org/10.14814/phy2.14687 Text en © 2021 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Luo, Hongxing
Westphal, Philip
Shahmohammadi, Mehrdad
Heckman, Luuk I. B.
Kuiper, Marion
Cornelussen, Richard N.
Delhaas, Tammo
Prinzen, Frits W.
Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm
title Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm
title_full Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm
title_fullStr Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm
title_full_unstemmed Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm
title_short Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm
title_sort second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785055/
https://www.ncbi.nlm.nih.gov/pubmed/33400386
http://dx.doi.org/10.14814/phy2.14687
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