Classify murmurs
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Benchmarks
CirCor DigiScope
Most implemented
Exploring Pre-trained General-purpose Audio Representations for Heart Murmur Detection
Papers
Exploring Pre-trained General-purpose Audio Representations for Heart Murmur Detection
To reduce the need for skilled clinicians in heart sound interpretation, recent studies on automating cardiac auscultation have explored deep learning approaches. However, despite the demands for large data for deep lear…
Classify murmursGPUSelf-Supervised LearningTransfer LearningPhonocardiogram Classification Using 1-Dimensional Inception Time Convolutional Neural Networks
Murmurs are sounds caused by turbulent blood flow that are often the first sign of structural heart disease. These sounds are detected by auscultating the heart using a stethoscope, or more recently by a phonocardiogram …
Classify murmursPhonocardiogram ClassificationPredict clinical outcomeHeart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022
Objective Cardiac auscultation is an accessible diagnostic screening tool that can help to identify patients with heart murmurs for follow-up diagnostic screening and treatment, especially in resource-constrained environ…
Classify murmursDiagnosticPredict clinical outcomeThe CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
Cardiac auscultation is one of the most cost-effective techniques used to detect and identify many heart conditions. Computer-assisted decision systems based on auscultation can support physicians in their decisions. Unf…
ClassificationClassify murmursDiagnosticPredict clinical outcome+1