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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.

Insights

The Harvard-Emory ECG Database offers over 10 million electrocardiogram (ECG) recordings from two major hospitals. This extensive dataset, including detailed annotations, supports cardiovascular research and clinical insights.

Area of Science:

  • Cardiology
  • Medical Informatics
  • Biomedical Data Science

Background:

  • The Harvard-Emory ECG Database (HEEDB) is a collaborative effort between Harvard University and Emory University.
  • It comprises a vast collection of 12-lead electrocardiogram (ECG) recordings gathered from clinical settings since the early 1990s.
  • The database continuously expands with new data, ensuring its relevance and comprehensiveness.

Purpose of the Study:

  • To establish a large-scale, publicly accessible repository of 12-lead ECG recordings.
  • To provide rich annotations including diagnoses, morphology, and rhythms for research and development.
  • To facilitate advancements in cardiovascular research through comprehensive data sharing.

Main Methods:

  • Collection of over 10 million 12-lead ECG recordings from Massachusetts General Hospital and Emory University Hospital.
  • Standardized storage of ECGs in WFDB format, sampled at 250 and 500 Hz.
  • Inclusion of 12SL annotations for a significant portion of the recordings, covering diagnoses, morphology, and rhythms.

Main Results:

  • The HEEDB contains 10,608,417 ECG recordings from 1,818,247 patients (MGH) and 1,452,964 recordings from 552,481 patients (EUH).
  • Detailed 12SL annotations are available for 10,471,531 MGH recordings and 1,268,277 EUH recordings.
  • Future updates will incorporate demographic data and clinical codes (ICD-9/10, CPT) and medication history.

Conclusions:

  • The HEEDB represents a significant resource for the medical and research community.
  • Its extensive data and annotations will drive innovation in ECG interpretation and cardiovascular disease research.
  • The ongoing expansion and planned data additions will further enhance its utility for diverse biomedical applications.