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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.
Afiliação
  • Luo H; Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
  • Westphal P; Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
  • Shahmohammadi M; Bakken Research Centre Medtronic, plc, Maastricht, the Netherlands.
  • Heckman LIB; Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
  • Kuiper M; Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
  • Cornelussen RN; Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
  • Delhaas T; Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
  • Prinzen FW; Bakken Research Centre Medtronic, plc, Maastricht, the Netherlands.
Physiol Rep ; 9(1): e14687, 2021 01.
Article em En | MEDLINE | ID: mdl-33400386
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecocardiografia Doppler / Ruídos Cardíacos / Disfunção Ventricular / Insuficiência Cardíaca Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecocardiografia Doppler / Ruídos Cardíacos / Disfunção Ventricular / Insuficiência Cardíaca Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article