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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and the T...
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin to...
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...

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The Harvard-Emory ECG Database.

Zuzana Koscova1, Qiao Li1, Chad Robichaux1

  • 1Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, 30322, US.

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|February 25, 2026
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Summary
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The Harvard-Emory ECG Database (HEEDB) is the largest open-access collection of 12-lead electrocardiogram (ECG) recordings. This diverse dataset supports machine learning model development for improved cardiovascular diagnostics and bias assessment.

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Area of Science:

  • Cardiology
  • Medical Informatics
  • Machine Learning

Background:

  • The Harvard-Emory ECG Database (HEEDB) is the largest open-access repository of 12-lead electrocardiogram (ECG) recordings.
  • It comprises over 10 million ECGs from nearly 2 million patients across two major academic medical centers.

Purpose of the Study:

  • To introduce the Harvard-Emory ECG Database (HEEDB) as a comprehensive resource for cardiovascular research.
  • To facilitate the training and validation of machine learning algorithms for ECG analysis.

Main Methods:

  • The database integrates 10,608,417 ECG recordings from Massachusetts General Hospital and 998,844 from Emory University Hospital.
  • ECGs are 10-second, 12-lead recordings (250/500 Hz, WFDB format) linked with demographic and clinical data.
  • Includes Marquette 12SL Software annotations, physician overreads, and ICD codes for comprehensive analysis.

Main Results:

  • HEEDB provides a large-scale, multi-center dataset with extensive metadata and diagnostic annotations.
  • The dataset enables robust evaluation of machine learning model performance and potential biases.

Conclusions:

  • The HEEDB is a valuable, open-access resource for advancing AI in cardiology.
  • It supports the development of more accurate and equitable diagnostic tools using electrocardiograms.