Resources

7 results for "phonocardiogram"

Challenge Open Access

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

Matthew Reyna, Yashar Kiarashi, Andoni Elola, et al.

Congenital heart diseases affect about 1% of newborns, representing an important morbidity and mortality factor for several severe conditions, including advanced heart failure [1]. In a 2019 survey, it was estimated that congenital heart diseases af…
Published: Sept. 28, 2023. Version: 1.0.0
Database Open Access

The CirCor DigiScope Phonocardiogram Dataset

Jorge Oliveira, Francesco Renna, Paulo Costa, et al.

A total number of 5272 heart sound recordings were collected from the main four auscultation locations of 1568 subjects, aged between 0 and 21 years (mean ± STD = 6.1 ± 4.3 years), with a duration between 4.8 to 80.4 seconds (mean ± STD = 22.9 ± 7.4…
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

The electro-phono-cardiogram (EPHNOGRAM) project focused on the development of low-cost and low-power devices for recording simultaneous electrocardiogram (ECG) and phonocardiogram (ECG) data, with auxiliary channels for capturing environmental audi…
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.
Published: Jan. 21, 2014. Version: 1.0.0 | Visualize waveforms
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. The recordings were made at Hafez Hospital of Shiraz University of …
Published: Jan. 8, 2021. Version: 1.0.1 | Visualize waveforms
Software Open Access

Logistic Regression-HSMM-based Heart Sound Segmentation

David Springer

The identification of the exact positions of the first and second heart sounds within a phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic analysis of heart sound recordings, allowing for the classification of …
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…
Published: March 4, 2016. Version: 1.0.0