The diagnostic ECGs are collected on machines from various manufacturers. Patients from the MIMIC-IV Clinical Database who had ECGs collected between 2008 - 2019 are included as part of MIMIC-IV-ECG. All of the information is de-identified to satisfy the US Health Insurance Portability and Accountability Act of 1996 (HIPAA) Safe Harbor requirements. Identifiers connected to the ECGs allow this information to be connected back to the patients overall electronic health record. The electrocardiogram waveforms themselves, the machine measurements (ex: average RR interval as calculated by the machine), and the cardiologist reports. Three types of information associated with an ECG are presented here. The MIMIC-IV-ECG Matched Subset contains the vast majority of diagnostic ECGs collected between 2008 - 2019 for subjects in MIMIC-IV.Īs part of routine care, diagnostic ECGs are collected across Beth Israel Deaconess Medical Center (BIDMC). This broader set of clinical information is shared as part of the MIMIC-IV Clinical Database . To fully understand how to best treat a given patient, a broader set of data is collected which may include: patient demographics, diagnosis, medications, lab tests, and additional information. Patients in the ICU are continuously monitored to detect rhythm abnormalities, but full ECGs are needed to evaluate evidence of cardiac ischemia or infarction. However, diagnostic ECGs typically only comprise a small part of understanding the overall condition of a subject at the hospital. Daily ECGs may be obtained following acute cardiovascular events such as myocardial infarction. ECGs will typically be repeated for patients who exhibit cardiac symptoms such as chest pain or abnormal rhythms. They are routinely obtained when admitted to the Emergency Department or to a hospital floor. The standard ECG leads are denoted as lead I, II, III, aVF, aVR, aVL, V1, V2, V3, V4, V5, V6. Diagnostic ECGs are a standard part of a patients care. 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.Īn Electrocardiogram or ECG / EKG measures the electrical activity associated with the heart. When a cardiologist report is available for a given ECG, it is also provided. This subset contains all of the ECGs for patients who appear in the MIMIC-IV Clinical Database. These diagnostic ECGs use 12 leads and are 10 seconds in length. They are sampled at 500 Hz. The MIMIC-IV-ECG module contains approximately 800,000 diagnostic electrocardiograms across nearly 160,000 unique patients. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov PC, Mark R, Mietus JE, Moody GB, Peng CK, Stanley HE. Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P.C., Mark, R., Mietus, J.E., Moody, G.B., Peng, C.K. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. MIMIC-IV-ECG - Diagnostic Electrocardiogram Matched Subset (version 0.2). Gow B, Pollard T, Nathanson L A, Johnson A, Moody B, Fernandes C, Greenbaum N, Berkowitz S, Moukheiber D, Eslami P, Herbst E, Mark R, Horng S. (2023) 'MIMIC-IV-ECG - Diagnostic Electrocardiogram Matched Subset' (version 0.2), PhysioNet. A., Johnson, A., Moody, B., Fernandes, C., Greenbaum, N., Berkowitz, S., Moukheiber, D., Eslami, P., Herbst, E., Mark, R., and Horng, S. "MIMIC-IV-ECG - Diagnostic Electrocardiogram Matched Subset" (version 0.2). Gow, Brian, Pollard, Tom, Nathanson, Larry A, Johnson, Alistair, Moody, Benjamin, Fernandes, Chrystinne, Greenbaum, Nathaniel, Berkowitz, Seth, Moukheiber, Dana, Eslami, Parastou, Herbst, Elizabeth, Mark, Roger, and Steven Horng. A., Johnson, A., Moody, B., Fernandes, C., Greenbaum, N., Berkowitz, S., Moukheiber, D., Eslami, P., Herbst, E., Mark, R., & Horng, S.
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