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Sudden Cardiac Death Holter Database

Sudden Cardiac Death Holter Database

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An estimated 400,000 Americans, and millions more worldwide, die suddenly each year. These events are most often initiat......

数据结构 ? 1.1G

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    An estimated 400,000 Americans, and millions more worldwide, die suddenly each year. These events are most often initiated with a sustained ventricular tachyarrhythmia, including ventricular tachycardia (monomorphic or polymorphic), ventricular flutter, or ventricular fibrillation, with a smaller percentage related to a primary bradyarrhythmia. Sudden cardiac death syndrome may be due to a wide variety of different electrical and mechanical substrates, including acute myocardial infarction, chronic coronary disease with prior myocardial infarction(s), cardiomyopathies, myocarditis, valvular heart disease, right ventricular dysplasia, the long Q-T syndrome (acquired or congenital), Wolff-Parkinson-White pre-excitation, the Brugada syndrome, drug toxicity (e.g., proarrhythmic effects of cardioactive drugs; epinephrine, cocaine, and related stimulants), and so forth. Moreover, some individuals have no demonstrable electrical or mechanical predisposition.

    Data Description

    Physionet has inaugurated a Sudden Cardiac Death Database to support research and to stimulate progress in this important area of electrophysiology. We initiate this database with 23 complete Holter recordings (originally collected by Scott Greenwald while he was at MIT), from which half-hour excerpts have been available to researchers since 1989 as the MIT-BIH Malignant Ventricular Arrhythmia Database. The database currently includes 18 patients with underlying sinus rhythm (4 with intermittent pacing), 1 who was continuously paced, and 4 with atrial fibrillation. All patients had a sustained ventricular tachyarrhythmia, and most had an actual cardiac arrest.

    These recordings were mainly obtained in the 1980s in Boston area hospitals, and were later compiled as part of a study of ventricular arrhythmias. Because of the retrospective nature of this collection, there are important limitations. Patient information is limited, and sometimes completely unavailable, including data regarding drug regimens and drug dosages. Further, these cases may not be representative of spontaneous episodes of sudden death in what is likely a very heterogenous group of subjects. Despite these shortcomings, these unique recordings may provide important clues to the pathogenesis of sudden death syndrome.

    This is a small collection of an important type of data. The task of annotating this database is particularly difficult because of the complexity of the included cardiac rhythms. We invite the community to help us make this collection larger, more representative, and more useful, and to annotate it more thoroughly and rigorously. We welcome contributions of additional data from other investigators who have access to similar records. We also invite interested researchers to review and revise the annotation files provided for these recordings; if you are interested in participating in this effort, please write for additional information. We will gratefully acknowledge all contributions.


    • Greenwald SD, Albrecht P, Moody GB, Mark RG. Estimating confidence limits for arrhythmia detector performance. Computers in Cardiology 1985; 12:383-386.
    • Greenwald SD. Development and analysis of a ventricular fibrillation detector. M.S. thesis, MIT Dept. of Electrical Engineering and Computer Science, 1986.
    • Goldberger AL, Rigney DR, Mietus J, Antman EW, Greenwald S. Nonlinear dynamics in sudden cardiac death syndrome: heart rate oscillations and bifurcations. Experientia 1988; 44:983-987. [Abstract] (Analysis based on 16 subjects with underlying sinus rhythm.)
    • Courtemanche M, Glass L. Rosengarten MD, Goldberger AL. Beyond pure parasystole: promises and problems in modeling complex arrhythmias. Am J Physiol 1989; 257 (Heart Circ Physiol 26):H693-H706. [Abstract] (Case 2 in this report is based on data from record 47 of this database.)
    • Goldberger AL, Rigney DR. On the non-linear motions of the heart: fractals, chaos and cardiac dynamics. In: Goldbeter A, ed. Cell to Cell Signaling: From Experiments to Theoretical Models. San Diego: Academic Press, 1989, pp. 541-550. (Figure 4, showing complex periodic patterns of ventricular premature beats, is derived from a record in this database.)

    ECG data and beat annotations

    A list in plain text form of the names of the records in this database can be found here.

    Signals Header Unaudited
    VF Onset
    Time (elapsed)
    30.dat 30.hea 30.ari 30.atr 24:33:17 07:54:33
    31.dat 31.hea 31.ari 31.atr 13:58:40 13:42:24
    32.dat 32.hea 32.ari 32.atr 24:20:00 16:45:18
    33.dat 33.hea 33.ari
    24:33:00 04:46:19
    34.dat 34.hea 34.ari 34.atr 07:05:20 06:35:44
    35.dat 35.hea 35.ari 35.atr 24:52:00 24:34:56
    36.dat 36.hea 36.ari 36.atr 20:21:20 18:59:01
    37.dat 37.hea 37.ari
    25:08:00 01:31:13
    38.dat 38.hea 38.ari
    18:18:25 08:01:54
    39.dat 39.hea 39.ari
    05:47:00 04:37:51
    40.dat 40.hea 40.ari
    24:53:00 (paced, no VF)
    41.dat 41.hea 41.ari 41.atr 03:56:00 02:59:24
    42.dat 42.hea 42.ari
    25:08:10 (no VF)
    43.dat 43.hea 43.ari
    23:07:50 15:37:11
    44.dat 44.hea 44.ari
    23:20:00 19:38:45
    45.dat 45.hea 45.ari 45.atr 24:09:20 18:09:17
    46.dat 46.hea 46.ari 46.atr 04:15:10 03:41:47
    47.dat 47.hea 47.ari
    23:35:50 06:13:01
    48.dat 48.hea 48.ari
    24:36:15 02:29:40
    49.dat 49.hea 49.ari 49.atr 25:01:40 (paced, no VF)
    50.dat 50.hea 50.ari
    23:07:38 11:45:43
    51.dat 51.hea 51.ari 51.atr 25:08:30 22:58:23
    52.dat 52.hea 52.ari 52.atr 07:31:05 02:32:40

    Clinical information

    Subject Number Gender Age History Medication Underlying Cardiac Rhythm
    30 Male 43 Unknown Unknown Sinus
    31 Female 72 Heart failure digoxin; quinidine gluconate Sinus
    32 Unknown 62 Coronary bypass grafting; history of arrhythmia Procan SR; beta-blocker Sinus with intermittent demand ventricular pacing; CPR at time of cardiac arrest
    33 Female 30 Unknown Unknown Sinus
    34 Male 34 Unknown Unknown Sinus
    35 Female 72 Mitral valve replacement digoxin Atrial fibrillation
    36 Male 75 Cardiac surgery digoxin; quinidine Atrial fibrillation
    37 Female 89 Unknown Unknown Atrial fibrillation
    38 Unknown Unknown Unknown Unknown Sinus
    39 Male 66 Acute myelogenous leukemia digoxin; quinidine Sinus
    40 Male 79 Unknown Unknown Paced
    41 Male Unknown Unknown Unknown Sinus
    42 Male 17 Hypertrophic cardiomyopathy; positive family history of sudden death Unknown Sinus
    43 Male 35 Coronary artery disease Unknown Intermittent ventricular pacing
    44 Male Unknown Unknown Unknown Sinus
    45 Male 68 History of ventricular ectopy digoxin; quinidine gluconate Sinus
    46 Female Unknown Unknown Unknown Sinus
    47 Male 34 Unknown Unknown Sinus
    48 Male 80 Unknown Unknown Sinus
    49 Male 73 Coronary artery s/p myocardial infarction; history of ventricular tachycardia Unknown Sinus with intermittent pacing
    50 Female 68 Coronary artery bypass graft; mitral valve replacement digoxin; quinidine; propranolol; potassium; diuretics Atrial fibrillation
    51 Female 67 Unknown Unknown Sinus with intermittent pacing
    52 Female 82 Heart failure None listed Sinus

    When using this resource, please cite the original publication:

    Greenwald SD. Development and analysis of a ventricular fibrillation detector. M.S. thesis, MIT Dept. of Electrical Engineering and Computer Science, 1986.

    Please include the standard citation for PhysioNet: (show more options)
    Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.




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