The Harvard-Emory ECG Database

The Harvard-Emory ECG Database (HEEDB) is currently the largest open-access collection of 12-lead electrocardiogram (ECG) recordings, developed through a collaboration between Harvard and Emory University. The database consists of 10,608,417 ECG recordings from 1,818,247 patients from Massachusetts General Hospital (MGH) and 998,844 recordings from 349,548 patients from Emory University Hospital (EUH) collected between 1980 and 2022 in clinical settings as part of routine patient care. The ECGs are 10-second, 12-lead recordings sampled at either 250 or 500 Hz, and stored in WFDB format. Each ECG is linked to demographic metadata (age, sex, race, ethnicity, education), along with deidentified acquisition dates, last visit dates, and death dates, when available. The dataset includes three forms of Marquette<sup>TM</sup> 12SL Analysis Software annotations: (1) batch-reprocessed diagnostic labels generated using the latest available 12SL software (version 24); (2) the original 12SL outputs from the time of ECG acquisition; and (3) the corresponding physician overreads. Additionally, the dataset includes associated ICD-9 and ICD-10 codes with the corresponding diagnosis dates. This database represents a large, diverse multi-center collection on which machine learning algorithms can be trained and tested for performance and bias.

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Publication Details

Journal
Scientific Data
Published
2026-02-25
DOI
https://doi.org/10.1038/s41597-026-06861-9
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

The Harvard-Emory ECG Database

Aaron D. Aguirre, Manohar Ghanta, Zuzana Koscova, Chad J. Robichaux et al.
Scientific Data
ECG Monitoring and Analysis
article

The Harvard-Emory ECG Database

Aaron D. Aguirre, Manohar Ghanta, Zuzana Koscova, Chad J. Robichaux, Erik Reinertsen, Aarya Parekh, Steven Song, Valdery Moura, Jonathan Rosand, Joel Xue, Shenda Hong, Reza Sameni, M. Brandon Westover, Matthew A. Reyna, Qiao Li, Gari D. Clifford, Aditya Gupta, David E. Albert
article en

Abstract

The Harvard-Emory ECG Database (HEEDB) is currently the largest open-access collection of 12-lead electrocardiogram (ECG) recordings, developed through a collaboration between Harvard and Emory University. The database consists of 10,608,417 ECG recordings from 1,818,247 patients from Massachusetts General Hospital (MGH) and 998,844 recordings from 349,548 patients from Emory University Hospital (EUH) collected between 1980 and 2022 in clinical settings as part of routine patient care. The ECGs are 10-second, 12-lead recordings sampled at either 250 or 500 Hz, and stored in WFDB format. Each ECG is linked to demographic metadata (age, sex, race, ethnicity, education), along with deidentified acquisition dates, last visit dates, and death dates, when available. The dataset includes three forms of Marquette<sup>TM</sup> 12SL Analysis Software annotations: (1) batch-reprocessed diagnostic labels generated using the latest available 12SL software (version 24); (2) the original 12SL outputs from the time of ECG acquisition; and (3) the corresponding physician overreads. Additionally, the dataset includes associated ICD-9 and ICD-10 codes with the corresponding diagnosis dates. This database represents a large, diverse multi-center collection on which machine learning algorithms can be trained and tested for performance and bias.

Scientific Data
Georgia Institute of Technology (US), Beth Israel Deaconess Medical Center (US), Emory University (US), Mountain View College (US), Massachusetts General Hospital (US)
Massachusetts General Hospital, Kaiser Permanente, Emory University, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Biomedical Imaging and Bioengineering
Openalex Percentile: Top 48%
ECG Monitoring and Analysis
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