Resources


Database Open Access

The CirCor DigiScope Phonocardiogram Dataset

Jorge Oliveira, Francesco Renna, Paulo Costa, Marcelo Nogueira, Ana Cristina Oliveira, Andoni Elola, Carlos Ferreira, Alipio Jorge, Ali Bahrami Rad, Matthew Reyna, Reza Sameni, Gari Clifford, Miguel Coimbra

A large collection of multi-location heart sound signals, with 5272 records collected from 1568 subjects. Heart murmurs have been annotated by a human annotator based on their time, shape, pitch, grading, quality, location and location intensity.

signal processing murmur pitch george b moody physionet challenge 2022 murmur grading murmur location murmur timing phonocardiogram pregnant murmur shape pediatric murmur detection murmur intensity murmur quality

Published: May 10, 2022. Version: 1.0.3

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Database Open Access

EPHNOGRAM: A Simultaneous Electrocardiogram and Phonocardiogram Database

Arsalan Kazemnejad, Peiman Gordany, Reza Sameni

An open-access database recorded during the EPHNOGRAM project, consisting of simultaneous electrocardiogram (ECG) and phonocardiogram (PCG) recordings from young healthy adults, during stress-test experiments.

stress-test phonocardiogram electrocardiogram

Published: June 11, 2021. Version: 1.0.0

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Challenge Open Access

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022

Matthew Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez Alday, Nadi Sadr, Sandra Mattos, Miguel Coimbra, Reza Sameni, Ali Bahrami Rad, Zuzana Koscova, Gari Clifford

2022 Physionet Challenge is devoted to detecting the presence or absence of murmurs from multiple heart sound recordings from multiple auscultation locations, as well as detecting the clinical outcomes.

challenge competition cardiac auscultation congenital heart diseases

Published: Sept. 28, 2023. Version: 1.0.0


Database Open Access

The CirCor DigiScope Phonocardiogram Dataset

Jorge Oliveira, Francesco Renna, Paulo Costa, Marcelo Nogueira, Ana Cristina Oliveira, Andoni Elola, Carlos Ferreira, Alipio Jorge, Ali Bahrami Rad, Matthew Reyna, Reza Sameni, Gari Clifford, Miguel Coimbra

A large collection of multi-location heart sound signals, with 5272 records collected from 1568 subjects. Heart murmurs have been annotated by a human annotator based on their time, shape, pitch, grading, quality, location and location intensity.

signal processing murmur pitch george b moody physionet challenge 2022 murmur grading murmur location murmur timing phonocardiogram pregnant murmur shape pediatric murmur detection murmur intensity murmur quality

Published: May 10, 2022. Version: 1.0.3

Visualize waveforms

Database Open Access

EPHNOGRAM: A Simultaneous Electrocardiogram and Phonocardiogram Database

Arsalan Kazemnejad, Peiman Gordany, Reza Sameni

An open-access database recorded during the EPHNOGRAM project, consisting of simultaneous electrocardiogram (ECG) and phonocardiogram (PCG) recordings from young healthy adults, during stress-test experiments.

stress-test phonocardiogram electrocardiogram

Published: June 11, 2021. Version: 1.0.0

Visualize waveforms

Database Open Access

Simulated Fetal Phonocardiograms

This data set is a series of synthetic fetal phonocardiographic signals (PCGs) relative to different fetal states and recording conditions.

phonocardiograpy fetal multiparameter simulation

Published: Jan. 21, 2014. Version: 1.0.0

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Database Open Access

Shiraz University Fetal Heart Sounds Database

Reza Sameni, Maryam Samieinasab

The Shiraz University (SU) fetal heart sounds database (SUFHSDB) contains fetal and maternal phonocardiogram (PCG) recordings from 109 pregnant women in single and twin pregnancies.

pregnancy phonocardiography fetal cardiography cardiotocography

Published: Jan. 8, 2021. Version: 1.0.1

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Software Open Access

Logistic Regression-HSMM-based Heart Sound Segmentation

David Springer

Heart sound segmentation code, based on a duration-dependent hidden Markov model, extended with the use of logistic regression for emission probability estimation and an enhanced Viterbi algorithm.

Published: July 29, 2019. Version: 1.0


Challenge Open Access

Classification of Heart Sound Recordings: The PhysioNet/Computing in Cardiology Challenge 2016

The 2016 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single sho…

sound heart challenge phonocardiogram

Published: March 4, 2016. Version: 1.0.0


Challenge Open Access

Classification of Heart Sound Recordings: The PhysioNet/Computing in Cardiology Challenge 2016

The 2016 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single sho…

sound heart challenge phonocardiogram

Published: March 4, 2016. Version: 1.0.0