Correction: Determining the incidence of heart malformations in neonates: a novel and clinically approved solution. [PDF]
Bordbar A +3 more
europepmc +1 more source
Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling. [PDF]
Ameen A +3 more
europepmc +1 more source
Diagnostic performance of coronary artery disease prediction model (CAD-score system) based on phonocardiogram: a systematic review and meta-analysis. [PDF]
Pramudyo M +5 more
europepmc +1 more source
A Radar-Based Contactless System for Joint Phonocardiogram Reconstruction and Cardiac State Segmentation Using a Self-Attention 1D U-Net. [PDF]
Montanari G +5 more
europepmc +1 more source
A systematic review on deep learning in ventricular septal defect screening, diagnosis, and management. [PDF]
Brem O +4 more
europepmc +1 more source
AMI-SSS01 portable phonocardiographic examination with AI-assisted assessment for detecting heart failure exacerbations in home-based medical care in Japanese primary care clinics: a study protocol for a randomised controlled feasibility trial. [PDF]
Hamada K +16 more
europepmc +1 more source
[Comparative analysis of phonocardiograms in fetuses and phonocardiograms in newborn infants].
J, PLONSKI, H, BIELSKA, A, BILINSKI
openaire +1 more source
Phonocardiogram signal dataset paired with blood pressure measurements. [PDF]
Kokkhunthod K +7 more
europepmc +1 more source
Deep learning models for segmenting phonocardiogram signals: a comparative study. [PDF]
Alquran H +3 more
europepmc +1 more source
Intensified Fourth and Second Heart Sounds Analyzed Using a Visualized Phonocardiogram during the 2024 Noto Peninsula Earthquake Recovery Efforts. [PDF]
Yagi K +7 more
europepmc +1 more source

