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Database Credentialed Access

MIMIC-CXR Database

Alistair Johnson, Tom Pollard, Roger Mark, Seth Berkowitz, Steven Horng

Chest radiographs in DICOM format with associated free-text reports.

machine learning mimic natural language processing chest x-rays computer vision radiology

Published: Sept. 19, 2019. Version: 2.0.0

Database Credentialed Access

eICU Collaborative Research Database

Tom Pollard, Alistair Johnson, Jesse Raffa, Leo Anthony Celi, Omar Badawi, Roger Mark

Multi-center database comprising deidentified health data associated with over 200,000 admissions to ICUs across the United States between 2014-2015.

telemedicine icu critical care

Published: April 15, 2019. Version: 2.0

Database Credentialed Access

MIMIC-III Clinical Database

Alistair Johnson, Tom Pollard, Roger Mark

MIMIC-III is a large, freely-available database comprising deidentified health-related data associated with over forty thousand patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012.

The databa…

machine learning natural language processing intensive care clinical critical care

Published: Sept. 4, 2016. Version: 1.4

Database Open Access

MIT-BIH Arrhythmia Database

Two-channel ambulatory ECG recordings, obtained from 47 subjects studied by the BIH Arrhythmia Laboratory between 1975 and 1979.

arrhythmia ecg

Published: Feb. 24, 2005. Version: 1.0.0

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Database Open Access

MIT-BIH Atrial Fibrillation Database

This database includes 25 long-term ECG recordings of human subjects with atrial fibrillation (mostly paroxysmal).

atrial fibrillation ecg

Published: Nov. 4, 2000. Version: 1.0.0

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Latest Resources

Database Credentialed Access

Electrodermal Activity of Healthy Volunteers while Awake and at Rest

Sandya Subramanian, Riccardo Barbieri, Emery Brown

This database of electrodermal activity was collected from 11 healthy volunteer subjects who were awake and at rest in seated position.

electrodermal activity sweat gland activity sympathetic nervous system autonomic nervous system

Published: Aug. 4, 2020. Version: 1.0

Database Open Access

Brain Hemorrhage Extended (BHX): Bounding box extrapolation from thick to thin slice CT images

Eduardo Pontes Reis, Felipe Nascimento, Mateus Aranha, Fernando Mainetti Secol, Birajara Machado, Marcelo Felix, Anouk Stein, Edson Amaro

The first version of this dataset was made available in the forum of Kaggle competition 'RSNA Intracranial Hemorrhage Detection' (v1.0). Then minor corrections were implemented (v1.1).

hemorrhage intracranial

Published: July 29, 2020. Version: 1.1

Database Open Access

Brno University of Technology ECG Quality Database (BUT QDB)

Andrea Nemcova, Radovan Smisek, Kamila Opravilová, Martin Vitek, Lukas Smital, Lucie Maršánová

The database is intended for the development and objective comparison of algorithms designed to assess the quality of ECG records. It also enables objective comparison of results between authors.

Published: July 22, 2020. Version: 1.0.0

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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

1402 kinematic recordings of twenty-two semi-professional actors expressing emotions such as happiness, sadness, anger, fear, disgust, and surprise.

body movement emotion motion capture kinematic data

Published: July 7, 2020. Version: 2.1.0

Database Open Access

Multilevel Monitoring of Activity and Sleep in Healthy People

Alessio Rossi, Eleonora Da Pozzo, Dario Menicagli, Chiara Tremolanti, Corrado Priami, Alina Sirbu, David Clifton, Claudia Martini, David Morelli

Multilevel Monitoring of Activity and Sleep in Healthy people (MMASH) dataset provides 24 hours of continuous beat-to-beat heart data, triaxal accelerometer data, sleep quality, physical activity, psychological characteristics and salivary samples.

sleep physiological response melatonin cortisol health circadian rhythm psychological response saliva

Published: June 19, 2020. Version: 1.0.0

Database Open Access

Simultaneous physiological measurements with five devices at different cognitive and physical loads

Marcus Vollmer, Dominic Bläsing, Julian Elias Reiser, Maria Nisser, Anja Buder

Dataset to support comparison of usability and accuracy from simultaneous measurements collected from 13 subjects including five devices: NeXus-10 MKII, eMotion Faros 360°, Hexoskin Hx1, SOMNOTouch NIBP, Polar RS800 Multi.

respiration multiparameter temperature ecg hrv movement holter photoplethysmogram noise accelerometer heart rate

Published: June 16, 2020. Version: 1.0.0

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More resources

News

New on PhysioNet: the HiRID critical care dataset

June 5, 2020

We are pleased to announce the release of the HiRID critical care dataset, developed as part of a collaboration between Bern University Hospital and the Swiss Federal Institute of Technology (ETH). HiRID is a freely accessible critical care dataset containing data relating to more than 33 thousand admissions to the Department of Intensive Care Medicine of the Bern University Hospital, Switzerland, an interdisciplinary 60-bed unit admitting >6,500 patients per year.

Significant delays are expected to applications for credentialed access to PhysioNet.

March 25, 2020

We are currently dealing with a high volume of applications for credentialed access to PhysioNet, so please expect significant delays in the review process. We are doing our best to deal with the waitlist quickly, handling applications in the order in which they are received. To help ensure that your application is successful, please remember to:

Include a copy of your CITI training report (not the certificate).
Remind your reference to reply promptly when contacted.
Check your application details are correct before submitting.

We apologize for the inconvenience. Please bear with us during this busy time!

Announcing the PhysioNet/Computing in Cardiology Challenge 2020 on Classification of 12-lead ECGs

Feb. 10, 2020

We are delighted to announce the PhysioNet/Computing in Cardiology Challenge 2020 on Classification of 12-lead ECGs.

For more information, see the Challenge website: https://physionetchallenges.github.io/2020/

Quick links for this year's Challenge can be found here:

Registration form: https://bit.ly/37d21iN
Public discussion forum: https://groups.google.com/forum/#!forum/physionet-challenges
Rules and deadlines: https://physionetchallenges.github.io/2020/#rules-and-deadlines

More information will be posted on the website linked above (and eventually mirrored on physionet.org/challenge/2020 with a delay as it is available). Please check the Challenge forum for real time updates. Please also post questions and comments in the forum. However, if your question reveals information about your entry, then please email challenge [at] physionet.org. We may post parts of our reply publicly if we feel that all Challengers should benefit from the information contained in our responses. We will not answer emails about the Challenge to any other address.

Many thanks again for your continued support of this event and we hope you enjoy this year's challenge.

MIMIC-CXR paper published!

News from: MIMIC-CXR Database v2.0.0.

Feb. 10, 2020

A journal article describing the MIMIC-CXR database was recently published in Scientific Data. The article provides detail regarding the collection, curation, and processing done in order to create the database. The article is open access and available online [1].

The database has also been preprocessed into compressed JPG format images, which have been made available on PhysioNet as the MIMIC-CXR-JPG Database. The database includes labels extracted from the free-text reports using publicly available tools. You can read more about the creation of this resource in our arXiv preprint [2].

Finally, we have created the mimic-cxr GitHub repository for collaborative code development on MIMIC-CXR [3]. The code used to generate MIMIC-CXR-JPG from MIMIC-CXR is available in the repository already. We welcome code contributions from all users, and we encourage discussion of the data via the GitHub issues.

[1] Johnson AE, Pollard TJ, Berkowitz SJ, Greenbaum NR, Lungren MP, Deng CY, Mark RG, Horng S. MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports. Scientific Data. 2019;6.

[2] Johnson AE, Pollard TJ, Greenbaum NR, Lungren MP, Deng C-Y, Peng Y, Lu Z, Mark RG, Berkowitz SJ, Horng S. MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs. arXiv preprint arXiv:1901.07042. 2019.

[3] https://github.com/MIT-LCP/mimic-cxr

WiDS (Women in Data Science) Challenge Announced! Register your team by 24 February 2020

News from: WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction v1.0.0.

Jan. 23, 2020

The WiDS Datathon 2020 focuses on patient health through data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative. Brought to you by the Global WiDS team, the West Big Data Innovation Hub, and the WiDS Datathon Committee. Winners will be announced at the WiDS Conference at Stanford University and via livestream, reaching a community of 100,000+ data enthusiasts across more than 50 countries.

WiDS Challenge 2020

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