PhysioNet

Time 2021-11-22 11:12:33

Web Name: PhysioNet

WebSite: http://www.physionet.org

ID:245533

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PhysioNet,

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A tribute to George Moody PhysioNet

The Research Resource for Complex Physiologic Signals

Data Software Challenges Tutorials Featured Resources

Database Credentialed Access

MIMIC-IV

Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Steven Horng, Leo Anthony Celi, Roger Mark

Database of patients admitted to the Beth Israel Deaconess Medical Center

mimic critical care intensive care unit machine learning

Published: March 16, 2021. Version: 1.0

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.

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

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 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

Visualize waveforms

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

Visualize waveforms Latest Resources

Database Restricted Access

KURIAS-ECG: a 12-lead electrocardiogram database with standardized diagnosis ontology

Hakje Yoo, Yunjin Yum, Soowan Park, Jeong Moon Lee, Moonjoung Jang, Yoojoong Kim, Jong-Ho Kim, Hyun-Joon Park, Kap Su Han, Jae Hyoung Park, Hyung Joon Joo

The KURIAS-ECG database is a high-quality 12-lead ECG DB including standard vocabulary (SNOMED CT, OMOP-CDM), and ECG diagnoses of our DB are grouped into 10 diagnoses by applying the minnesota code.

snomed 12-lead ecg minnesota

Published: Nov. 8, 2021. Version: 1.0

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Database Open Access

A multi-camera and multimodal dataset for posture and gait analysis

Manuel Palermo, João Mendes Lopes, João André, Joao Cerqueira, Cristina Santos

Multimodal dataset with 166k samples for vision-based applications with a smart walker used in gait and posture rehabilitation. It is equipped with a pair of Depth cameras with data synchronized with an inertial MoCap system worn by the participant.

computer vision rehabilitation inertial motion capture deep learning smart walker human pose estimation gait and posture analysis depth

Published: Nov. 1, 2021. Version: 1.0.0

Database Credentialed Access

NCH Sleep DataBank: A Large Collection of Real-world Pediatric Sleep Studies with Longitudinal Clinical Data

Harlin Lee, Boyue Li, Yungui Huang, Yuejie Chi, Simon Lin

The NCH Sleep DataBank includes 3,984 pediatric sleep studies on 3,673 unique patients conducted at Nationwide Childrens Hospital between 2017 and 2019. It contains polysomnography (PSG), clinical annotations, and longitudinal clinical data.

eeg ehr polysomnography pediatrics clinical decision support electronic health records sleep disorders sleep study ecg

Published: Oct. 27, 2021. Version: 3.1.0

Visualize waveforms

Software Open Access

Waveform Database Software Package (WFDB) for Python

Chen Xie, Lucas McCullum, Alistair Johnson, Tom Pollard, Brian Gow, Benjamin Moody

Tools for working with waveforms in Python.

wfdb waveform python

Published: Oct. 4, 2021. Version: 3.4.1

Database Restricted Access

REFLACX: Reports and eye-tracking data for localization of abnormalities in chest x-rays

Ricardo Bigolin Lanfredi, Mingyuan Zhang, William Auffermann, Jessica Chan, Phuong-Anh Duong, Vivek Srikumar, Trafton Drew, Joyce Schroeder, Tolga Tasdizen

This dataset contains 3032 cases of eye-tracking data collected while five radiologists dictated reports for frontal chest x-rays, synchronized timestamped dictation transcription, and manual labels for validation of localization of abnormalities.

computer vision chest x-rays radiology machine learning eye tracking radiology report reflacx fixations gaze deep learning

Published: Sept. 27, 2021. Version: 1.0.0

Database Open Access

Haaglanden Medisch Centrum sleep staging database

Diego Alvarez-Estevez, Roselyne Rijsman

A collection of 154 whole-night PolySomnoGraphic (PSG) sleep recordings from the Haaglanden Medisch Centrum (HMC, The Netherlands) sleep center containing different traces of ExG activity and experts scorings of sleep stages

sleep staging psg inter-database generalization edf deep learning

Published: Sept. 27, 2021. Version: 1.0.1

Visualize waveforms More resources News
MIMIC-IV demo available in the OMOP Common Data Model

News from: MIMIC-IV demo data in the OMOP Common Data Model v0.9.

June 28, 2021

We are pleased to announce that a 100-patient demo of MIMIC-IV has been made available in the OMOP Common Data Model.The datasetis currentlyundergoing user testing and has known limitations (for example, the inputevents and outputevents tables are not yet incorporated). For more detail, please visit the project page on PhysioNetand the associated GitHub repository.

Thiswork builds on previous efforts by Nicolas Paris, Adrien Parrot and colleagues onMIMIC-III.Theproject wasin partsupported by grants from Bill and Melinda Gates foundation and National Library of Medicine (NLM), National Institutes of Health.

Read more: https://doi.org/10.13026/p1f5-7x35

PhysioNet is experiencing temporary network issues due to a power outage

June 25, 2021

Anovernightpower outage (24-25 June 2021) appears to have resulted in somenetwork issues. Functionality such asintegration with external services (e.g. ORCID and Google Cloud) may be affected.We are investigating! [UPDATE: the networkhas been restored.]

Announcing the integration of PhysioNet with ORCID

May 4, 2021

We are pleased to announce the integration of PhysioNet withORCID,the unique digital identifier for researchers. Adding your ORCID iD to PhysioNet will help you to connect professional works datasets, software, etc. to your public ORCID profile.

If you are applying for credentialed access to PhysioNet resources, we highly recommendlinking your ORCID iDto your profile prior to submitting the application. Doing so makes it easier for us to establish your identity, helping to expedite the review process.

In the future, we will be adding new features to enhance the ORCID integration, for example syncing your PhysioNet publications with your ORCID profile. Please let us know if you have suggestions for additional improvements at contact@physionet.org.

Head to https://physionet.org/settings/orcid/ to link your ORCID iD to PhysioNet.

A tribute to George Moody

Feb. 15, 2021

We are deeply saddened to announce the passing of George Moody, one of the original PhysioNet team. George passed away as a consequence of COVID-19 on February 13, 2021, surrounded by his family, Edna, Benjamin, Jeremy and Melissa.

George has been a fundamental part of PhysioNet since the beginning, stretching back into the late 70s and early 1980s. George developed the WFDB libraries, and much of code that can be found on PhysioNet today, which underpins the Research Resource for Complex Physiologic Signals, and the fundamentals of ECG signal processing. Georges work spanned state-of-the-art QRS detection, beat classification, noise assessment, and heart rate variability, among other areas. A pioneer and stalwart of open source principles, his work has blazed a trail in the field of physiological signal processing. This was acknowledged in 2016 by the AAMI, which awarded him (jointly with Ary Goldberger and Roger Mark) its most prestigious prize, the Laufman-Greatbatch Award.

George is perhaps best known for his design and implementation of the PhysioNet/CinC Challenges, which he ran for 15 years, from inception in 2000, until 2014, after which he retired due to ill health. These Challenges have pushed the field forward, stimulating research and translation, long before most, if not all, other public data science competitions began.

George was generous with his time and took pride in answering almost every email he received. He tirelessly devoted himself to the field, supporting everyone, from the newest student, to the giants of industry. At Computing in Cardiology, which he attended every year from 1979 to 2014, he was often the star of the show, generating a unique buzz around the Challenges. He also served on the board of the conference for longer than anyone, and was an active member of that community for over 30 years, contributing over 70 articles to the proceedings.

George began his career as an undergraduate at MIT, studying physics. His (sometimes supernatural) skill at C coding led him to work on the seminal MIT-BIH Arrhythmia Database with Roger Mark and Ary Goldberger. Still today, this database is at the core of many FDA applications.After his student days George became a research scientist at MIT in Roger Marks group and remained there until retirement. George was a polymath. You could talk to him about any subject and realize his depth of thought was exceptional. There wasnt a subject on which he couldnt offer a genuinely deep and informed opinion. Yet he listened to everyone and treated all ideas and views with the utmost respect.

George was a man who appreciated life to its fullest. Perhaps his most impressive characteristic was that he always put his family first. A wonderful father and husband, he always made time for those he loved. Edna mentioned that Georges favorite charity was Partners In Health (pih.org), and requested that anyone wishing to make a gesture in remembrance of him, to please direct it there. George was loved by us all, and we miss him enormously. He leaves an enduring legacy for the next generation, although he would be too humble to ever acknowledge that fact.

Read more: https://physionet.org/users/gmoody/

New applications for credentialed access to PhysioNet have been paused until January

Dec. 17, 2020

We have taken the difficult decision to pause all new applications forcredentialed access to PhysioNet until 4thJanuary 2021. We apologize for thisinconvenienceand we will be working hard to clear the backlog of applications in time for opening again in the New Year. Over the coming months, we will also be implementing changes to PhysioNet that we hope will streamline the process for future applications.

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