Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease
Background The success of cardiac auscultation varies widely among medical
professionals, which can lead to missed treatments for structural heart disease. Applying …
professionals, which can lead to missed treatments for structural heart disease. Applying …
Deep learning algorithm for automated cardiac murmur detection via a digital stethoscope platform
Background Clinicians vary markedly in their ability to detect murmurs during cardiac
auscultation and identify the underlying pathological features. Deep learning approaches …
auscultation and identify the underlying pathological features. Deep learning approaches …
Portable artificial intelligence device detects heart murmurs in real time in tandem with a regular stethoscope
D Bhandare, D Patel, T Shimshak - Journal of the American College of …, 2022 - jacc.org
Background: Cardiac auscultation is performed in virtually every clinical examination to
identify heart disease before symptoms are present yet, in practice most heart murmurs are …
identify heart disease before symptoms are present yet, in practice most heart murmurs are …
Utilization of Deep Learning and Expert Feature Classifier for Detection of Heart Murmurs
This paper introduces our solution (ISIBrno-AIMT team) to the Physionet Challenge 2022.
The main goal of the challenge was a classification of heart murmurs from …
The main goal of the challenge was a classification of heart murmurs from …
Two-stage classification for detecting murmurs from phonocardiograms using deep and expert features
S Summerton, D Wood, D Murphy… - 2022 Computing in …, 2022 - ieeexplore.ieee.org
Detection of heart murmurs from stethoscope sounds is a key clinical technique used to
identify cardiac abnormalities. We describe the creation of an ensemble classifier using both …
identify cardiac abnormalities. We describe the creation of an ensemble classifier using both …
Dual Bayesian ResNet: A deep learning approach to heart murmur detection
This study presents our team PathToMyHeart's contri-bution to the George B. Moody
PhysioNet Challenge 2022. Two models are implemented. The first model is a Dual …
PhysioNet Challenge 2022. Two models are implemented. The first model is a Dual …
Multi-task prediction of murmur and outcome from heart sound recordings
Y Chang, L Liu, C Antonescu - 2022 Computing in Cardiology …, 2022 - ieeexplore.ieee.org
As part of the George B. Moody PhysioNet Challenge 2022, our team, prna, developed a
novel approach to automatically detect the presence of heart murmurs and predict …
novel approach to automatically detect the presence of heart murmurs and predict …
Ensemble transformer-based neural networks detect heart murmur in phonocardiogram recordings
M Alkhodari, SK Azman… - 2022 Computing in …, 2022 - ieeexplore.ieee.org
Cardiac auscultation through phonocardiogram (PCG) is still the most commonly used
approach for evaluating the mechanical functionality of the heart when diagnosing …
approach for evaluating the mechanical functionality of the heart when diagnosing …
Towards uncertainty-aware murmur detection in heart sounds via tandem learning
The field of automated auscultation has been growing in popularity in the past decade due
to manual auscultation being a challenging task requiring years of training. Many efforts in …
to manual auscultation being a challenging task requiring years of training. Many efforts in …
Searching for Effective Neural Network Architectures for Heart Murmur Detection from Phonocardiogram
H Wen, J Kang - 2022 Computing in Cardiology (CinC), 2022 - ieeexplore.ieee.org
Aim: The George B. Moody PhysioNet Challenge 2022 raised problems of heart murmur
detection and related abnormal cardiac function identification from phonocardiograms …
detection and related abnormal cardiac function identification from phonocardiograms …