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☰ PhysioNet
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 * PhD opportunities at the European INSIDE-HEART consortium (deadline for
   applications: 31 Jan 2024)
 * Call for partners interested in synthetic patient data
 * Responsible use of MIMIC data with online services like GPT


PHYSIONET

The Research Resource for Complex Physiologic Signals


Data Software Challenges Tutorials



FEATURED RESOURCES


Database Open Access


VITALDB, A HIGH-FIDELITY MULTI-PARAMETER VITAL SIGNS DATABASE IN SURGICAL
PATIENTS

Hyung-Chul Lee, Chul-Woo Jung

VitalDB, a high-fidelity multi-parameter vital signs database in surgical
patients

waveform anesthesia vitaldb intraoperative biosignal ecg

Published: Sept. 21, 2022. Version: 1.0.0

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Database Open Access


PTB-XL, A LARGE PUBLICLY AVAILABLE ELECTROCARDIOGRAPHY DATASET

Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Wojciech Samek, Tobias
Schaeffter

The PTB-XL ECG dataset is a large dataset of 21801 clinical 12-lead ECGs from
18869 patients of 10 second length. The raw signal data has been annotated by up
to two cardiologists with 71 different ECG statements and is supplemented by
rich metadata.

electrocardiography ptb-xl ptb ecg

Published: Nov. 9, 2022. Version: 1.0.3

Visualize waveforms

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Database Credentialed Access


MIMIC-IV

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

Large database of de-identified health information from patients admitted to
Beth Israel Deaconess Medical Center

mimic critical care machine learning intensive care unit

Published: Jan. 6, 2023. Version: 2.2

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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.

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

Published: Sept. 19, 2019. Version: 2.0.0

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Database Credentialed Access


BRAX, A BRAZILIAN LABELED CHEST X-RAY DATASET

Eduardo Pontes Reis, Joselisa Paiva, Maria Carolina Bueno da Silva, Guilherme
Alberto Sousa Ribeiro, Victor Fornasiero Paiva, Lucas Bulgarelli, Henrique Lee,
Paulo Victor dos Santos, vanessa brito, Lucas Amaral, Gabriel Beraldo, Jorge
Nebhan Haidar Filho, Gustavo Teles, Gilberto Szarf, Tom Pollard, Alistair
Johnson, Leo Anthony Celi, Edson Amaro

BRAX contains 24,959 chest radiography exams and 40,967 images acquired in a
large general Brazilian hospital. All images have been read by trained
radiologists and 14 labels were derived from Brazilian Portuguese reports using
NLP.

chest x-ray artificial intelligence dataset

Published: June 17, 2022. Version: 1.1.0

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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

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LATEST RESOURCES


Database Credentialed Access


MEDICATION EXTRACTION LABELS FOR MIMIC-IV-NOTE CLINICAL DATABASE

Akshay Goel, Almog Gueta, Omry Gilon, Sofia Erell, Amir Feder

Medication extraction NLP labels for 600 discharge summaries in MIMIC-IV-Note
dataset.



Published: Dec. 12, 2023. Version: 1.0.0

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Database Credentialed Access


CAD-CHEST: COMPREHENSIVE ANNOTATION OF DISEASES BASED ON MIMIC-CXR RADIOLOGY
REPORT

Mengliang Zhang, Xinyue Hu, Lin Gu, Tatsuya Harada, Kazuma Kobayashi, Ronald
Summers, Yingying Zhu

The CAD-Chest dataset provides comprehensive annotations of disease, including
disease severity, uncertainty, and location based on the MIMIC-CXR radiologist
reports.

chesr x-ray disease label

Published: Dec. 8, 2023. Version: 1.0

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Database Credentialed Access


ANNOTATION DATASET OF SOCIAL DETERMINANTS OF HEALTH FROM MIMIC-III CLINICAL CARE
DATABASE

Marco Guevara, Shan Chen, Spencer Thomas, Danielle Bitterman

Annotation dataset of social determinants of health from MIMC-III Clinical Care
Database notes.

natural language processing social determinants of health

Published: Nov. 24, 2023. Version: 1.0.0

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Database Open Access


SIMULATED OBSTRUCTIVE DISEASE RESPIRATORY PRESSURE AND FLOW

Jaimey Anne Clifton, Ella Frances Sophia Guy, Trudy Caljé-van der Klei, Jennifer
Knopp, James Geoffrey Chase

Outlined is a pressure, flow, and volume dataset using a using a modular device
to simulate the effects of obstructive pulmonary disease in healthy people. 20
healthy subjects were included in this dataset.



Published: Nov. 13, 2023. Version: 1.0.0

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Database Open Access


SCIENTISST MOVE: ANNOTATED WEARABLE MULTIMODAL BIOSIGNALS RECORDED DURING
EVERYDAY LIFE ACTIVITIES IN NATURALISTIC ENVIRONMENTS

João Areias Saraiva, Mariana Abreu, Ana Sofia Carmo, Hugo Plácido da Silva, Ana
Fred

Multimodal (ECG, EMG, EDA, PPG, TEMP, ACC) biosignal dataset of everyday
activities. Created with 3 wearable devices based on ScientISST Sense and
Empatica E4.

multimodal wearable run uncontrolled environments jump greet lift walk
gesticulate

Published: Nov. 13, 2023. Version: 1.0.0

Visualize waveforms

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Challenge Credentialed Access


BIONLP WORKSHOP 2023 SHARED TASK 1A: PROBLEM LIST SUMMARIZATION

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar

This is the data storage for BioNLP Workshop Shared Task 1A: Problem List
Summarization.

bionlp clinical natural language processing electronic health record
summarization

Published: Nov. 12, 2023. Version: 2.0.0

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More resources


NEWS



PHD OPPORTUNITIES AT THE EUROPEAN INSIDE-HEART CONSORTIUM (DEADLINE FOR
APPLICATIONS: 31 JAN 2024)

Dec. 11, 2023

INSIDE-HEART brings together universities, companies and hospitals from Italy,
Finland, France, Israel, Netherlands, Spain, and Sweden to establish a
multi-disciplinary network to tackle the design and
early-phase validation of digital biomarkers targeting the diagnosis
of supraventricular arrhythmias (SVAs) and their associated potential for
adverse risk assessment.

Our colleagues in the network are looking for 10 motivated PhD candidates,
funded by the European Union’s Horizon Europe program under the Marie Skłodowska
Curie Actions. For further information and details on how to apply,
see: https://www.inside-heart.eu/recruitment/. The call for applications is open
until 31 January 2024.

The INSIDE-HEART project is coordinated by the Politecnico di Milano. Please
direct questions to insideheart@polimi.it

Read more: https://www.inside-heart.eu/recruitment/

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DARPA TRIAGE CHALLENGE: QUALIFICATION EXTENDED THROUGH NOV 27

Nov. 6, 2023

Qualification for the DARPA Triage Challenge has been extended through November
27, 2023 at 23:59. We encourage you to join the challenge as a self-funded team
for the Systems, Virtual and Data Competitions. You may compete in one or more
challenge tracks, where qualification must be entered for each track
individually. 

To register, please visit the Team Qualification Portal at:
https://events.sa-meetings.com/DTCTeamPortal/.

For more information on the challenge,
see: https://triagechallenge.darpa.mil/ or contact TriageChallenge@darpa.mil.

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JOIN THE DARPA TRIAGE CHALLENGE! DEADLINE FOR REGISTRATION: MONDAY 13 NOVEMBER,
2023

Oct. 18, 2023

The Defense Advanced Research Projects Agency (DARPA), a research and
development agency within the Department of Defense, is seeking competitors for
a new medical response challenge. The DARPA Triage Challenge aims to drive
breakthrough innovations that improve medical response time during mass casualty
incidents in complex military and civilian settings, especially when medical
resources are limited relative to the need.

The challenge includes a series of technical challenge events to drive
breakthrough innovations in the identification of physiological features
(signatures) of injury, and help medical responders perform scalable, timely,
and accurate triage. The challenge has two primary triage competitions – Systems
and Virtual – and a secondary triage Data competition. The Systems and Virtual
competitions focus on stand-off sensing of physiological data using autonomous
platforms – uncrewed aerial and ground vehicles – during primary triage.
Competitors will conduct real-time sensor data analysis to identify casualties
for urgent hands-on evaluation by medical personnel.

Relevant to the PhysioNet community, the Data competition seeks to identify
physiological signatures of injury derived from data captured by non-invasive
sensors (contact-based or stand-off). Such advances could accelerate responders’
anticipatory decisions and prioritization for medical care during secondary
triage. Competitors will attempt to develop algorithms that detect signatures in
these data streams to provide decision support appropriate for austere and
complex pre-hospital settings. Of particular interest are early signatures
indicating a need for life-saving interventions against conditions that medics
are trained and equipped to treat during secondary triage, such as hemorrhage
and airway injuries.

The Data competition will use DARPA-provided de-identified, multi-modal
physiological data from trauma patients across diverse settings and cohorts
provided by the DARPA Research Infrastructure for Trauma with Medical
Observations effort. Data types include, but are not limited, to:
photoplethysmography (PPG) waveforms, medical procedures, imaging results and
video footage during prehospital helicopter transport and in the trauma bay.

Prizes for year one:

 * Systems Competition: Up to $200K Prize pool
 * Virtual Competition: Up to $100K Prize pool
 * Data Competition: Up to $200K Prize pool

Total Prizes $7M over three challenges

DARPA is currently seeking self-funded competitors. Join us by registering on
the Qualification Portal, now through Nov. 13, 2023.

For more information visit the DARPA Triage Challenge website.

Read more: https://triagechallenge.darpa.mil/

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CALL FOR PARTNERS INTERESTED IN SYNTHETIC PATIENT DATA

Sept. 27, 2023

The Google Research team is looking for partners to understand the needs and
requirements for synthetic data. They have capabilities to generate both
structured and unstructured patient data as well as images for infrastructure
testing and medical research. Please contact us if you are interested in the
partnership.

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MIMIC-IV-ECG MODULE RELEASED

News from: MIMIC-IV-ECG: Diagnostic Electrocardiogram Matched Subset v1.0.

Sept. 15, 2023

The MIMIC-IV-ECG module is now available. This module contains approximately
800,000 diagnostic electrocardiograms across nearly 160,000 unique patients. The
vast majority of ECGs for patients who appear in the MIMIC-IV Clinical Database
are included. The patients in MIMIC-IV-ECG have been matched against the
MIMIC-IV Clinical Database, making it possible to link to information across the
MIMIC-IV modules. When a cardiologist report is available for a given ECG, we
provide information for linking to it.

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More news

PhysioNet is a repository of freely-available medical research data, managed by
the MIT Laboratory for Computational Physiology.

Supported by the National Institute of Biomedical Imaging and Bioengineering
(NIBIB) under NIH grant number R01EB030362.

For more accessibility options, see the MIT Accessibility Page.

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