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St Petersburg INCART 12-lead Arrhythmia Database

St Petersburg INCART 12-lead Arrhythmia Database

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This database consists of 75 annotated recordings extracted from 32 Holter records. Each record is 30 minutes long and c......

数据结构 ? 563.5M

    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。

    This database consists of 75 annotated recordings extracted from 32 Holter records. Each record is 30 minutes long and contains 12 standard leads, each sampled at 257 Hz, with gains varying from 250 to 1100 analog-to-digital converter units per millivolt. Gains for each record are specified in its .hea file. The reference annotation files contain over 175,000 beat annotations in all.

    Data Description

    The original records were collected from patients undergoing tests for coronary artery disease (17 men and 15 women, aged 18-80; mean age: 58). None of the patients had pacemakers; most had ventricular ectopic beats. In selecting records to be included in the database, preference was given to subjects with ECGs consistent with ischemia, coronary artery disease, conduction abnormalities, and arrhythmias; observations of those selected included:

    Diagnosis Patients
    Acute MI 2
    Transient ischemic attack (angina pectoris) 5
    Prior MI 4
    Coronary artery disease with hypertension 7 (4 with ECGs consistent with left ventricular hypertrophy)
    Sinus node dysfunction 1
    Supraventricular ectopy 18
    Atrial fibrillation or SVTA 3 (2 with paroxysmal AF)
    WPW 2
    AV block 1
    Bundle branch block 3

    These diagnoses were confirmed by enzyme assays, coronary angiography, electrophysiological study, and pressure monitoring where necessary. For each record, the .hea file includes the patient's age, sex, diagnoses, and a summary of features of the ECG. Each .hea file also includes a patient number (1–32) that identifies the source recording; all records with a given patient number were obtained from the same Holter recording. For convenience, this information is also collected in the files record-descriptions.txt and files-patients-diagnoses.txt.

    The annotations were produced by an automatic algorithm and then corrected manually, following the standard PhysioBank beat annotation definitions. The algorithm generally places beat annotations in the middle of the QRS complex (as determined from all 12 leads); the locations have not been manually corrected, however, and there may be occasional misaligned annotations as a result.


    This database was contributed by the St. Petersburg Institute of Cardiological Technics (Incart), St. Petersburg, Russia. The database was initially developed by Viktor Tihonenko ( and Alexander Khaustov ( Additional verification was done by Sergey Ivanov and Alexei Rivin (Incart). Please refer questions and corrections to Evgeniy Yakushenko

    Version history

    September 18, 2015:

    The header files have been updated to include the correct checksums and initial values for all signals. The signals and annotations have not been altered.

    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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