531 Works

Intracardiac Atrial Fibrillation Database

Jon Peterson & Dave Kynor
This database consists of endocardial recordings from the right atria of 8 patients in atrial fibrillation or flutter. A decapolar catheter with 2-5-2mm spacing (7mm spacing between bipoles) was placed in four separate regions of the heart. In each region, the 5 bipolar signals were recorded along with 3 surface ECG leads. Data were digitized at 1kHz.

Records excluded from the MIT-BIH Normal Sinus Rhythm Database

Beth Israel Hospital
The recordings in this collection were originally selected for inclusion in the MIT-BIH Normal Sinus Rhythm Database, but were excluded after study revealed low-grade arrhythmias.

Apnea-ECG Database

Thomas Penzel, George B Moody, Roger G Mark, Ary L Goldberger & J Hermann Peter
The data consist of 70 records, divided into a learning set of 35 records (a01 through a20, b01 through b05, and c01 through c10), and a test set of 35 records (x01 through x35), all of which may be downloaded from this page. Recordings vary in length from slightly less than 7 hours to nearly 10 hours each. Each recording includes a continuous digitized ECG signal, a set of apnea annotations (derived by human experts...

The MIMIC II Clinical Database (Public Subset)

George B Moody & Li-Wei H Lehman

The ECG-ID Database

Tatiana Lugovaya
The database contains 310 ECG recordings, obtained from 90 persons. Each recording contains: ECG lead I, recorded for 20 seconds, digitized at 500 Hz with 12-bit resolution over a nominal ±10 mV range; 10 annotated beats (unaudited R- and T-wave peaks annotations from an automated detector); information (in the .hea file for the record) containing age, gender and recording date. The records were obtained from volunteers (44 men and 46 women aged from 13 to...

Exaggerated Heart Rate Oscillations During Two Meditation Techniques

C-K Peng, Joseph E Mietus, Yanhui Liu, Gurucharan Khalsa, Pamela S Douglas, Herbert Benson & Ary L Goldberger

PhysioNet/CinC Challenge 2015: Test Sets

PhysioNet PhysioNet & Computing In Cardiology
The 2015 PhysioNet/CinC Challenge aims to encourage the development of algorithms to reduce the incidence of false alarms in the Intensive Care Unit (ICU). False alarms in the ICU can lead to a disruption of care, impacting both the patient and the clinical staff through noise disturbances, desensitization to warnings and slowing of response times, leading to decreased quality of care. In this challenge we focus only on life threatening arrhythmias, namely asystole, extreme bradycardia,...

The BIDMC Congestive Heart Failure Database

Donald S Baim, Wilson S Colucci, Ernest S Monrad, Harton S Smith, Richard F Wright, Alyce Lanoue, Diane F Gauthier, Bernard J Ransil, William Grossman & Eugene Braunwald
This database includes long-term ECG recordings from 15 subjects (11 men, aged 22 to 71, and 4 women, aged 54 to 63) with severe congestive heart failure (NYHA class 3–4). This group of subjects was part of a larger study group receiving conventional medical therapy prior to receiving the oral inotropic agent, milrinone. Further details about the larger study group are available in the first reference cited above. A number of additional studies have made...

The CTU-UHB Intrapartum Cardiotocography Database

Václav Chudáček, Jiří Spilka, Miroslav Burša, Petr Janků, Lukáš Hruban, Michal Huptych & Lenka Lhotská
This database, from the Czech Technical University (CTU) in Prague and the University Hospital in Brno (UHB), contains 552 cardiotocography (CTG) recordings, which were carefully selected from 9164 recordings collected between 2010 and 2012 at UHB.

Clinical data from the MIMIC-II database for a case study on indwelling arterial catheters:

Jesse Raffa
This dataset was created for the purpose of a case study in the book: [ _Secondary Analysis of Electronic Health Records_](https://link.springer.com/book/10.1007/978-3-319-43742-2) , published by Springer in 2016. In particular, the dataset was used throughout [Chapter 16 (Data Analysis) ](https://link.springer.com/chapter/10.1007/978-3-319-43742-2_16)by Raffa J. et al. to investigate the effectiveness of indwelling arterial catheters in hemodynamically stable patients with respiratory failure for mortality outcomes. The dataset is derived from MIMIC-II, the publicly-accessible critical care database. It contains summary...

CAP Sleep Database

Mario Giovanni Terzano, Liborio Parrino, Adriano Sherieri, Ronald Chervin, Sudhansu Chokroverty, Christian Guilleminault, Max Hirshkowitz, Mark Mahowald, Harvey Moldofsky, Agostino Rosa, Robert Thomas & Arthur Walters
The CAP Sleep Database is a collection of 108 polysomnographic recordings registered at the Sleep Disorders Center of the Ospedale Maggiore of Parma, Italy. The waveforms (contained in the .edf files of the database) include at least 3 EEG channels (F3 or F4, C3 or C4 and O1 or O2, referred to A1 or A2), EOG (2 channels), EMG of the submentalis muscle, bilateral anterior tibial EMG, respiration signals (airflow, abdominal and thoracic effort and...

European ST-T Database

Alessandro Taddei, G Distante, Michele Emdin, P Pisani, George B Moody, Cees Zeelenberg & Carlo Marchesi
The European ST-T Database is intended to be used for evaluation of algorithms for analysis of ST and T-wave changes. This database consists of 90 annotated excerpts of ambulatory ECG recordings from 79 subjects. The subjects were 70 men aged 30 to 84, and 8 women aged 55 to 71. (Information is missing for one subject.

PAF Prediction Challenge Database

George B Moody, Ary L Goldberger, Seth McClennen & Steven P Swiryn
This database of two-channel ECG recordings has been created for use in the Computers in Cardiology Challenge 2001, an open competition with the goal of developing automated methods for predicting paroxysmal atrial fibrillation (PAF). See the challenge announcement for information about the competition, and see Predicting Onset of Atrial Fibrillation for a brief overview of the clinical problem, its significance, and suggestions for further reading on the subject.

PhysioNet/CinC Challenge 2009: Test Sets

PhysioNet PhysioNet & Computers In Cardiology

PhysioNet/CinC Challenge 2013: Test Sets

PhysioNet PhysioNet & Computing In Cardiology

The QT Database

Pablo Laguna, Roger G Mark, Ary L Goldberger & George B Moody
Over 100 fifteen-minute two-lead ECG recordings (many excerpted from other databases), with onset, peak, and end markers for P, QRS, T, and (where present) U waves of from 30 to 50 selected beats in each recording.

The PTB Diagnostic ECG Database

Ralf-Dieter Bousseljot, D Kreiseler & A Schnabel
The ECGs in this collection were obtained using a non-commercial, PTB prototype recorder with the following specifications: 16 input channels, (14 for ECGs, 1 for respiration, 1 for line voltage); Input voltage: ±16 mV, compensated offset voltage up to ± 300 mV Input resistance: 100 Ω (DC); Resolution: 16 bit with 0.5 μV/LSB (2000 A/D units per mV); Bandwidth: 0 - 1 kHz (synchronous sampling of all channels); Noise voltage: max. 10 μV (pp), respectively...

Smart Health for Assessing the Risk of Events via ECG (SHAREE database)

Paolo Melillo, Raffaele Izzo, Ada Orrico, Paolo Scala, Marcella Attanasio, Marco Mirra, Nicola De Luca & Leandro Pecchia
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 nominal 24-h electrocardiographic (ECG) Holter recordings of 139 hypertensive patients recruited at the Centre of Hypertension of the University Hospital of Naples Federico II, Naples, Italy.

The Sleep-EDF Database

Bastiaan (Bob) Kemp, Aeilko (Koos) H Zwinderman, Bert Tuk, Hilbert A C Kamphuisen & Josefien J L (Janine) Oberyé
This version is obsolete but will remain available to support ongoing work.

Deidentified Medical Text

Margaret Douglass
Available here is a gold standard corpus of 2,434 nursing notes that have been thoroughly deidentified by a multi-pass process that included meticulous reviews by three or more experts working independently, as well as by a variety of automated methods. All detected instances of PHI in these nursing notes have been replaced by realistic surrogate data. The gold standard corpus is currently available only to those who have been granted access to PhysioNet Clinical Databases.

2018 IEEE BHI and BSN Data Challenge

Tom Pollard, Alistair Johnson & Jesse Raffa
In collaboration with the IEEE Conference on Biomedical and Health Informatics (BHI) 2018 and the IEEE Conference on Body Sensor Networks (BSN), we are hosting a challenge to explore real clinical questions in critically ill patients using the MIMIC-III database. Participants in the challenge will be invited to present at the BHI & BSN Annual Conference in Las Vegas, USA (4-7 March 2018):

Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation

Murtadha Hssayeni
After traumatic brain injury (TBI), intracranial hemorrhage (ICH) may occur that could lead to death or disability if it is not accurately diagnosed and treated in a time-sensitive procedure. Currently, Computerized Tomography (CT) scans are examined by radiologists to diagnose intracranial hemorrhage to localize affected regions. In this work, we collected a dataset of 82 CT scans of patients with traumatic brain injury. Intracranial hemorrhage regions in these scans were delineated in each slice by...

Wilson Central Terminal ECG Database

Hossein Moeinzadeh & Gaetano Gargiulo
The Wilson Central Terminal ECG Database (WCTECGdb) contains the ** ** Wilson Central Terminal (WCT), the voltage of right arm (RA), left arm (LA) and left leg (LL), six unipolar chest leads associated with three limb leads and six precordial leads. With our ECG device, the potentials of RA, LA, LL and six true unipolar leads are measured using the _right leg_ as the reference point. Having this configuration, we have been able to overcome...

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
We produced a kinematic dataset to assist in recognizing cues from all parts of the body that indicate human emotions (happy, sad, angry, fearful, neutral, and disgust). The present dataset was created using a portable wireless motion capture system. Twenty-two semi-professional actors (50% female) completed performances. A total of 1190 recordings at 125 Hz were collected, consisting of the position and rotation data of 72 anatomical nodes. We hope this dataset will contribute to multiple...

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
We produced a kinematic dataset to assist in recognizing cues from all parts of the body that indicate human emotions (happy, sad, angry, fearful, , disgust, surprise) and neutral. The present dataset was created using a portable wireless motion capture system. Twenty-two semi-professional actors (50% female) completed performances. A total of 1402 recordings at 125 Hz were collected, consisting of the position and rotation data of 72 anatomical nodes. We hope this dataset will contribute...

Registration Year

  • 2023
    16
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    128
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    127
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    114
  • 2019
    27
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    21
  • 2017
    8
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    10
  • 2015
    80

Resource Types

  • Dataset
    503
  • Software
    28

Affiliations

  • MIT Lincoln Laboratory
    6
  • Massachusetts Institute of Technology
    6
  • Evidation Health (United States)
    3
  • IBM Research - Almaden
    2
  • Beth Israel Deaconess Medical Center
    2
  • Stanford University
    1
  • University of Michigan–Ann Arbor
    1
  • University of Toronto
    1
  • Vector Institute
    1
  • Harvard Medical School
    1