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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Challenge Open Access

Reducing False Arrhythmia Alarms in the ICU: The PhysioNet/Computing in Cardiology Challenge 2015

The 2015 PhysioNet/CinC Challenge aims to encourage the development of algorithms to reduce the incidence of false alarms in the Intensive Care Unit (ICU).

false alarm arrhythmia multiparameter icu challenge critical care tachycardia

Published: Feb. 15, 2015. Version: 1.0.0


Challenge Open Access

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

Matthew Reyna, Nadi Sadr, Annie Gu, Erick Andres Perez Alday, Chengyu Liu, Salman Seyedi, Amit Shah, Gari Clifford

Will Two Do? Varying Dimensions in Electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021

challenge cardiac abnormalities multilead ecgs classification competition

Published: July 29, 2022. Version: 1.0.3

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Challenge Open Access

You Snooze You Win: The PhysioNet/Computing in Cardiology Challenge 2018

The goal of the challenge is use information from the available signals to correctly classify target arousal regions.

apnea circadian sleep challenge polysomnography

Published: Feb. 21, 2018. Version: 1.0.0


Challenge Open Access

Predicting Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012

The focus of the PhysioNet/CinC Challenge 2012 is to develop methods for patient-specific prediction of in-hospital mortality. Participants will use information collected during the first two days of an ICU stay to predict which patients survive the…

mortality prediction ehr mimic challenge

Published: Jan. 20, 2012. Version: 1.0.0


Challenge Open Access

Predicting Acute Hypotensive Episodes: The PhysioNet/Computing in Cardiology Challenge 2009

This year's challenge is the tenth in the annual series of open challenges hosted by PhysioNet in cooperation with Computers in Cardiology. The goal of the challenge is to predict which patients in the challenge dataset will experience an acute …

hypertension ehr mimic multiparameter challenge

Published: Jan. 27, 2009. Version: 1.0.0


Challenge Open Access

2018 IEEE BHI and BSN Data Challenge

Tom Pollard, Alistair Johnson, Jesse Raffa

A challenge to explore real clinical questions in critically ill patients using the MIMIC. A collaboration with the IEEE Conference on Biomedical and Health Informatics 2018 and the IEEE Conference on Body Sensor Networks.

weekend effect ieee mimic challenge

Published: Feb. 5, 2018. 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…

heart sound challenge phonocardiogram

Published: March 4, 2016. Version: 1.0.0


Challenge Open Access

Mind the Gap: The PhysioNet/Computing in Cardiology Challenge 2010

The aim of this year's challenge is to develop robust methods for filling in gaps in multiparameter physiologic data (including ECG signals, continuous blood pressure waveforms, and respiration).

missing data multiparameter challenge ecg

Published: Dec. 1, 2010. Version: 1.0.0


Database Open Access

Cerebromicrovascular Disease in Elderly with Diabetes

Vera Novak, Rodrigo Quispe

Type 2 diabetes increases risk for cerebrovascular disease, cognitive and mobility decline in older people. This project evaluated relationship between diabetes, inflammation cerebrovascular reactivity and functional outcomes.

gait and balance brain perfusion inflammation type 2 diabetes cerebromiscovascular disease cerebral vasoreactivity brain atrophy perfusion mri

Published: Aug. 5, 2022. Version: 1.0.1

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