Resources


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

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

Published: Jan. 22, 2020. Version: 1.0.0


Database Open Access

Motion Artifact Contaminated fNIRS and EEG Data

This data collection, contributed to PhysioBank by Kevin Sweeney and colleagues at the National University of Ireland in Maynooth, contains examples of functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) recordings that have…

artifact eeg spectroscopy noise multiparameter

Published: March 3, 2014. Version: 1.0.0

Visualize waveforms

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.

mimic challenge weekend effect ieee

Published: Feb. 5, 2018. Version: 1.0


Database Open Access

Electrocardiogram, skin conductance and respiration from spider-fearful individuals watching spider video clips

Frank R Ihmig, Antonio Gogeascoechea, Sarah Schäfer, Johanna Lass-Hennemann, Tanja Michael

The aim of this project was the development of an algorithm for on-line anxiety level detection from biosignals for the envisioned use as emotional biofeedback in therapeutic virtual reality and augmented reality games.

machine learning exposure therapy psychophysiology biosignals anxiety disorders wearable sensors anxiety level detection

Published: June 5, 2020. Version: 1.0.0


Database Credentialed Access

HiRID, a high time-resolution ICU dataset

Martin Faltys, Marc Zimmermann, Xinrui Lyu, Matthias Hüser, Stephanie Hyland, Gunnar Rätsch, Tobias Merz

The HiRID database contains a large selection of all routinely collected data relating to patient admissions to the Department of Intensive Care Medicine of the Bern University Hospital, Switzerland (ICU).

machine learning high resolution icu intensive care clinical critical care

Published: May 31, 2020. Version: 1.0


Database Restricted Access

Kinematic dataset of actors expressing emotions

Mingming Zhang, Lu Yu, Keye Zhang, Bixuan Du, Bin Zhan, Shaohua Chen, Xiuhao Jiang, Shuai Guo, Jiafeng Zhao, Yang Wang, Bin Wang, Shenglan Liu, Wenbo Luo

1190 kinematic recordings of twenty-two semi-professional actors expressing emotions such as happiness, sadness, anger, fear, and disgust.

body movement kinematic data motion capture emotion

Published: April 26, 2020. Version: 1.0.0


Database Open Access

eICU Collaborative Research Database Demo

Alistair Johnson, Tom Pollard, Omar Badawi, Jesse Raffa

An openly available subset of the eICU Collaborative Research Database.

critical care eicu open data medical informatics

Published: July 15, 2019. Version: 2.0


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).

ecg challenge missing data multiparameter

Published: Dec. 1, 2010. Version: 1.0.0


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

Tappy Keystroke Data

This is the keystroke dataset for the study titled 'High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing'. This research report is currently under review for publication by P…

movement parkinsons neuroelectric

Published: Oct. 20, 2017. Version: 1.0.0