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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.
Medrxiv : the Preprint Server for Health Sciences
|May 19, 2025
Summary
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.
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