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Long-term ST database: A reference for the development and evaluation of automated ischaemia detectors and for the study of the dynamics of myocardial ischaemia

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Abstract

The long-term ST database is the result of a multinational research effort. The goal was to develop a challenging and realistic research resource for development and evaluation of automated systems to detect transient ST segment changes in electrocardiograms and for supporting basic research into the mechanisms and dynamics of transient myocardial ischaemia. Twenty-four hour ambulatory ECG records were selected from routine clinical practice settings in the USA and Europe, between 1994 and 2000, on the basic of occurrence of ischaemic and non-ischaemic ST segment changes. Human expert annotators used newly developed annotation protocols and a specially developed interactive graphic editor tool (Semia) that supported paperless editing of annotations and facilitated international co-operation via the Internet. The database contains 86 two- and three-channel 24h annotated ambulatory records from 80 patients and is stored on DVD-ROMs. The database annotation files contain ST segment annotations of transient ischaemic (1155) and heart-rate related ST episodes and annotations of non-ischaemic ST segment events related to postural changes and conduction abnormalities. The database is intended to complement the European Society of Cardiology ST-T database and the MIT-BIH and AHA arrhythmia databases. It provides a comprehensive representation of ‘real-world’ data, with numerous examples of transient ischaemic and non-ischaemic ST segment changes, arrhythmias, conduction abnormalities, axis shifts, noise and artifacts.

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Authors and Affiliations

  1. Faculty of Computer & Information Science, University of Ljubljana, Ljubliana, Slovenia

    F. Jager, R. Dorn & A. Smrdel

  2. Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA

    F. Jager, G. B. Moody & R. G. Mark

  3. National Research Council (CNR) Institute of Clinical Physiology, Pisa, Italy

    A. Taddei, M. Emdin & C. Marchesi

  4. Cardiology Division, Beth Israel Deaconess Medical Center, Boston, MA, USA

    G. B. Moody & R. G. Mark

  5. Department of Cardiology, University Medical Center, Ljubljana, Slovenia

    G. Antolič

  6. Department of Systems & Informatics, University of Firenze, Italy

    C. Marchesi

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  1. F. Jager
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  2. A. Taddei
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  3. G. B. Moody
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  4. M. Emdin
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  5. G. Antolič
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  6. R. Dorn
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  7. A. Smrdel
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  8. C. Marchesi
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  9. R. G. Mark
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Correspondence to F. Jager.

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Jager, F., Taddei, A., Moody, G.B. et al. Long-term ST database: A reference for the development and evaluation of automated ischaemia detectors and for the study of the dynamics of myocardial ischaemia. Med. Biol. Eng. Comput. 41, 172–182 (2003). https://doi.org/10.1007/BF02344885

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  • DOI: https://doi.org/10.1007/BF02344885

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