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A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG

Laguna, P., Mark, R.G., Goldberg, A., Moody, G.B.·2002·Computers in Cardiology 1997

Abstract

Presents a QT database designed for evaluation of algorithms that detect waveform boundaries in the ECG. The database consists of 105 fifteen-minute excerpts of two-channel ECG Holter recordings, chosen to include a broad variety of QRS and ST-T morphologies. Waveform boundaries for a subset of beats in these recordings have been manually determined by expert annotators using an interactive graphic display to view both signals simultaneously and to insert the annotations. Examples of each morphology were included in this subset of annotated beats; at least 30 beats in each record, 3622 beats in all, were manually annotated in the database. In 11 records, two independent sets of annotations have been included, to allow inter-observer variability studies. The QT Database is available on a CD-ROM in the format previously used for the MIT-BIH Arrhythmia Database and the European ST-T Database, from which some of the recordings in the QT Database have been obtained.

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Metadata

Authors
Laguna, P., Mark, R. G., Goldberg, A., & Moody, G. B.
Venue
Computers in Cardiology 1997
Publisher
IEEE
Published
2002-11-22
Pages
673-676
ISSN
0276-6574 (ISSN-L)
OpenAlex
W2166704538
Cited by
606
References
0
FWCI
32.90
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG. https://app.cochat.ai/papers/10.1109/cic.1997.648140
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Laguna, P., Mark, R. G., Goldberg, A., & Moody, G. B. (2002). A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG. Computers in Cardiology 1997. https://doi.org/10.1109/cic.1997.648140

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.