Literature DB >> 1396824

The European ST-T database: standard for evaluating systems for the analysis of ST-T changes in ambulatory electrocardiography.

A Taddei1, G Distante, M Emdin, P Pisani, G B Moody, C Zeelenberg, C Marchesi.   

Abstract

The project for the development of the European ST-T annotated Database originated from a 'Concerted Action' on Ambulatory Monitoring, set up by the European Community in 1985. The goal was to prototype an ECG database for assessing the quality of ambulatory ECG monitoring (AECG) systems. After the 'concerted action', the development of the full database was coordinated by the Institute of Clinical Physiology of the National Research Council (CNR) in Pisa and the Thoraxcenter of Erasmus University in Rotterdam. Thirteen research groups from eight countries provided AECG tapes and annotated beat by beat the selected 2-channel records, each 2 h in duration. ST segment (ST) and T-wave (T) changes were identified and their onset, offset and peak beats annotated in addition to QRSs, beat types, rhythm and signal quality changes. In 1989, the European Society of Cardiology sponsored the remainder of the project. Recently the 90 records were completed and stored on CD-ROM. The records include 372 ST and 423 T changes. In cooperation with the Biomedical Engineering Centre of MIT (developers of the MIT-BIH arrhythmia database), the annotation scheme was revised to be consistent with both MIT-BIH and American Heart Association formats.

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Year:  1992        PMID: 1396824     DOI: 10.1093/oxfordjournals.eurheartj.a060332

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  36 in total

1.  Analysis of the ST-T complex of the electrocardiogram using the Karhunen--Loève transform: adaptive monitoring and alternans detection.

Authors:  P Laguna; G B Moody; J García; A L Goldberger; R G Mark
Journal:  Med Biol Eng Comput       Date:  1999-03       Impact factor: 2.602

2.  Hierarchical state space partitioning with a network self-organising map for the recognition of ST-T segment changes.

Authors:  A Bezerianos; L Vladutu; S Papadimitriou
Journal:  Med Biol Eng Comput       Date:  2000-07       Impact factor: 2.602

3.  Automated detection of transient ST-segment episodes in 24 h electrocardiograms.

Authors:  A Smrdel; F Jager
Journal:  Med Biol Eng Comput       Date:  2004-05       Impact factor: 2.602

4.  An efficient method of addressing ectopic beats: new insight into data preprocessing of heart rate variability analysis.

Authors:  Feng Wen; Fang-Tian He
Journal:  J Zhejiang Univ Sci B       Date:  2011-12       Impact factor: 3.066

5.  ICASP: an intensive-care acquisition and signal processing integrated framework.

Authors:  Eleftheria J Siachalou; Ilias K Kitsas; Konstantinos J Panoulas; Emmanouil Th Zadelis; Christos D Saragiotis; Yannis A Tolias; Leontios J Hadjileontiadis; Stavros M Panas
Journal:  J Med Syst       Date:  2005-12       Impact factor: 4.460

6.  CSE database: extended annotations and new recommendations for ECG software testing.

Authors:  Radovan Smíšek; Lucie Maršánová; Andrea Němcová; Martin Vítek; Jiří Kozumplík; Marie Nováková
Journal:  Med Biol Eng Comput       Date:  2016-12-31       Impact factor: 2.602

7.  Development of motion resistant instrumentation for ambulatory near-infrared spectroscopy.

Authors:  Quan Zhang; Xiangguo Yan; Gary E Strangman
Journal:  J Biomed Opt       Date:  2011-08       Impact factor: 3.170

8.  Intra-QRS spectral changes accompany ST segment changes during episodes of myocardial ischemia.

Authors:  Boris Gramatikov; Vivek Iyer
Journal:  J Electrocardiol       Date:  2014-09-16       Impact factor: 1.438

9.  Automatic Real-Time Embedded QRS Complex Detection for a Novel Patch-Type Electrocardiogram Recorder.

Authors:  Dorthe B Saadi; George Tanev; Morten Flintrup; Armin Osmanagic; Kenneth Egstrup; Karsten Hoppe; Poul Jennum; Jørgen L Jeppesen; Helle K Iversen; Helge B D Sorensen
Journal:  IEEE J Transl Eng Health Med       Date:  2015-04-10       Impact factor: 3.316

10.  Classification of ischemic and non-ischemic cardiac events in Holter recordings based on the continuous wavelet transform.

Authors:  Carolina Fernández Biscay; Pedro David Arini; Anderson Iván Rincón Soler; María Paula Bonomini
Journal:  Med Biol Eng Comput       Date:  2020-03-09       Impact factor: 2.602

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