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

TLDR

The authors present a QT interval database intended to evaluate algorithms that detect ECG waveform boundaries. The database contains 105 fifteen‑minute two‑channel Holter recordings with diverse QRS and ST‑T morphologies, and 3,622 beats manually annotated by experts—at least 30 beats per record—with 11 records providing dual independent annotations for inter‑observer variability. The QT Database is distributed on CD‑ROM in the same format as the MIT‑BIH Arrhythmia and European ST‑T databases, incorporating recordings sourced from those collections.

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.