Resources


Database Open Access

Smart Health for Assessing the Risk of Events via ECG Database

The SHAREE database was developed in order to investigate the possibility to identify hypertensive subjects at higher risk to develop vascular events based on Heart Rate Variability analysis. The research material in the SHAREE database included nom…

ecg risk hypertension holter hrv

Published: May 19, 2015. Version: 1.0.0

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Database Open Access

Long Term Movement Monitoring Database

The LTMM database contains 3-day 3D accelerometer recordings of 71 elder community residents, used to study gait, stability, and fall risk.

risk stability accelerometer gait

Published: June 20, 2016. Version: 1.0.0

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Challenge Open Access

Early Prediction of Sepsis from Clinical Data -- the PhysioNet Computing in Cardiology Challenge 2019

Matthew Reyna, Chris Josef, Russell Jeter, Supreeth Shashikumar, Benjamin Moody, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari Clifford

The 2019 PhysioNet Computing in Cardiology Challenge invites participants to predict sepsis in clinical data

prediction challenge sepsis

Published: Aug. 5, 2019. Version: 1.0.0

Database Open Access

Response to Valsalva Maneuver in Humans

Functional metrics of autonomic control of heart rate, including baroreflex sensitivity, have been shown to be strongly associated with cardiovascular risk. A decrease in baroreflex sensitivity with aging is hypothesized to represent a contributing …

heart rate valsalva multiparameter

Published: Nov. 14, 2018. Version: 1.0.0

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Database Open Access

T-Wave Alternans Challenge Database

This database has been assembled for the PhysioNet/Computers in Cardiology Challenge 2008. It contains 100 multichannel ECG records sampled at 500 Hz with 16 bit resolution over a ± 32 mV range. The subjects include patients with myocardial i…

ecg arrhythmia challenge

Published: Sept. 22, 2008. Version: 1.0.0

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Challenge Open Access

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction

Meredith Lee, Jesse Raffa, Marzyeh Ghassemi, Tom Pollard, Sharada Kalanidhi, Omar Badawi, Karen Matthys, Leo Anthony Celi

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction focuses on patient health. Join a team, explore the data, and share your insights: http://bit.ly/WiDSdatathon2020

icu mortality risk challenge data science kaggle predictive analytics women in data science

Published: Jan. 22, 2020. Version: 1.0.0