MIMIC-IV-ECG: Diagnostic Electrocardiogram Matched Subset
Open accessAbstract
The MIMIC-IV-ECG module contains approximately 800,000 diagnostic electrocardiograms across nearly 160,000 unique patients. These diagnostic ECGs use 12 leads and are 10 seconds in length. They are sampled at 500 Hz. This subset contains all of the ECGs for patients who appear in the MIMIC-IV Clinical Database. When a cardiologist report is available for a given ECG, we provide the needed information to link the waveform to the report. The patients in MIMIC-IV-ECG have been matched against the MIMIC-IV Clinical Database, making it possible to link to information across the MIMIC-IV modules.
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The MDS-ICU dataset integrates data from MIMIC-IV, MIMIC-IV-ECG, and MIMIC-IV-ECG-ICD, focusing on ICU patients with at least one 10-second 12-lead ECG.
“The MDS-ICU dataset integrates data from MIMIC-IV [27], MIMIC-IV-ECG [28], and MIMIC-IV-ECG-ICD [29], focusing on ICU patients with at least one 10-second 12-lead ECG.”
From A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking (2026) · cites this paper as [28]
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Research works printed but not linked: 7
- Geselowitz DB. On the theory of the electrocardiogram. Proceedings of the IEEE. 1989 Jun;77(6):857-76.
- Harris PR. The Normal electrocardiogram: resting 12-Lead and electrocardiogram monitoring in the hospital. Critical Care Nursing Clinics. 2016 Sep 1;28(3):281-96.
- Johnson, A., Bulgarelli, L., Pollard, T., Horng, S., Celi, L. A., & Mark, R. (2021). MIMIC-IV (version 1.0). PhysioNet. https://doi.org/10.13026/s6n6-xd98. · DOI · Paper page
- Johnson, A., Pollard, T., Horng, S., Celi, L. A., & Mark, R. (2023). MIMIC-IV-Note: Deidentified free-text clinical notes (version 2.2). PhysioNet. https://doi.org/10.13026/1n74-ne17. · DOI · Paper page
- Margaret Douglass, Computer-assisted de-identification of free-text nursing notes. Master's Thesis, 2005. MIT.
- Neamatullah, I., Douglass, M.M., Lehman, L.H., Reisner, A., Villarroel, M., Long, W.J., Szolovits, P., Moody, G.B., Mark, R.G., Clifford, G.D. (2007). De-Identification Software Package (version 1.1). PhysioNet. doi:10.13026/C20M3F · DOI
- Neamatullah I, Douglass MM, Lehman LH, Reisner A, Villarroel M, Long WJ, Szolovits P, Moody GB, Mark RG, Clifford GD. Automated de-identification of free-text medical records. BMC medical informatics and decision making. 2008 Dec;8(1):1-7. doi:10.1186/1472-6947-8-32 · DOI · Paper page
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Alcaraz, J. M. L., Bouma, H., & Strodthoff, N. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.110196 · Cited by 13 · see citing works
Alcaraz, J. M. L., Moran, X. L., Zaragoza, E. D., Händel, C., Koebe, R., Haverkamp, W., & Strodthoff, N. (2026) · arXiv · doi:10.48550/arxiv.2601.06645
- Authors
- Gow, B., Pollard, T., Nathanson, L. A., Johnson, A., Moody, B., Fernandes, C., Greenbaum, N., Waks, J. W., Eslami, P., Carbonati, T., Chaudhari, A., Herbst, E., Moukheiber, D., Berkowitz, S., Mark, R., & Horng, S.
- Affiliations
- Massachusetts Institute of Technology (US)
- Beth Israel Deaconess Medical Center (US)
- Philips Research, Cambridge, USA
- Philips (France) (FR)
- Philips North America
- ORCID
- Venue
- PhysioNet
- Publisher
- PhysioNet
- Published
- 2023
- OpenAlex
- W6960017966
- Cited by
- 54
- References
- 0
- Citations by year
- 2026: 22 · 2025: 19 · 2024: 13
- Type
- dataset
- Language
- en
- Open access
- green
- doi.org
- Locations
- PhysioNet
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Keywords
- electrocardiogram, 12-lead ECG, ECG waveform, MIMIC-IV, medical databases, patient matching
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