ArticleESC heart failure2017
Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device.
Article in ESC heart failure, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning.Frontiers in physiology · 2025Article
- Beat-to-beat alterations of acoustic intensity and frequency at the maximum power of heart sounds are associated with NT-proBNP levels.Frontiers in cardiovascular medicine · 2024Article
- Left Ventricular Pressure Estimation Using Machine Learning-Based Heart Sound Classification.Frontiers in cardiovascular medicine · 2022Article
- Using a non-invasive multi-sensor device to evaluate left atrial pressure: an estimated filling pressure derived from ballistocardiography.Annals of translational medicine · 2021Article
- Multiparameter diagnostic sensor measurements in heart failure patients presenting with SARS-CoV-2 infection.ESC heart failure · 2021Article
- Real-world outcomes in cardiac resynchronization therapy patients: design and baseline demographics of the SMART- Registry.ESC heart failure · 2021Observational
- Multiparameter diagnostic sensor measurements during clinically stable periods and worsening heart failure in ambulatory patients.ESC heart failure · 2021Article
- Analysis of Cardiac Vibration Signals Acquired From a Novel Implant Placed on the Gastric Fundus.Frontiers in physiology · 2021Article
- ICD-measured heart sounds and their correlation with echocardiographic indexes of systolic and diastolic function.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2020Article
- Preliminary experience with the multisensor HeartLogic algorithm for heart failure monitoring: a retrospective case series report.ESC heart failure · 2019Article
- Preliminary experience with a novel Multisensor algorithm for heart failure monitoring: The HeartLogic index.Clinical case reports · 2018Article
- Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device.ESC heart failure · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThe aim of this study was to evaluate the haemodynamic correlates of heart sound (HS) parameters such as third HS (S3), first HS (S1), and HS-based systolic time intervals (HSTIs) from an implantable cardiac device. METHODS AND
resultsTwo unique animal models (10 swine with myocardial ischaemia and 11 canines with pulmonary oedema) were used to evaluate haemodynamic correlates of S1, S3, and HSTIs, namely, HS-based pre-ejection period (HSPEP), HS-based ejection time (HSET), and the ratio HSPEP/HSET during acute haemodynamic perturbations. The HS was measured using implanted cardiac resynchronization therapy defibrillator devices simultaneously with haemodynamic references such as left atrial (LA) pressure and left ventricular (LV) pressure. In the ischaemia model, S1 amplitude (r = 0.76 ± 0.038; P = 0.002), HSPEP (r = -0.56 ± 0.07; P = 0.002), and HSPEP/HSET (r = -0.42 ± 0.1; P = 0.002) were significantly correlated with LV dP/dt
conclusionsThe HS parameters such as S1, S3, and HSTIs measured using implantable devices significantly correlated with haemodynamic changes in acute animal models, suggesting potential utility for remote heart failure patient monitoring.
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