Literature DB >> 3948497

Multilead ECG analysis.

J A Kors, J L Talmon, J H van Bemmel.   

Abstract

This paper describes the results of our recent research in computer-assisted ECG/VCG interpretation. It comprises new developments which were initiated by the advent of relatively inexpensive microcomputers. Our previous systems performed an off-line analysis of ECGs. Currently, there is a trend to move computer power near to the patient and to provide on-line analysis of ECGs. Besides the advantage of the direct availability of the ECG interpretation, quality control will reduce the number of uninterpretable ECGs and hence the number of repeated recordings. This paper describes the requirements that were established for a system for on-line ECG analysis. The system is based on our modular approach, just like our off-line system, Modular ECG ANalysis System (MEANS). Changes in the methods and software had to be made mainly because of the simultaneity of all ECG leads and the concurrency of the processing tasks. Other modifications and extensions of the algorithms necessary to meet the requirements of on-line ECG interpretation especially those related to processing speed, are discussed, and evaluation results are presented.

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Mesh:

Year:  1986        PMID: 3948497     DOI: 10.1016/0010-4809(86)90004-2

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


  4 in total

1.  Methodology of QT-interval measurement in the modular ECG analysis system (MEANS).

Authors:  Jan A Kors; Gerard van Herpen
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-01       Impact factor: 1.468

2.  Dataset of manually measured QT intervals in the electrocardiogram.

Authors:  Ivaylo Christov; Ivan Dotsinsky; Iana Simova; Rada Prokopova; Elina Trendafilova; Stefan Naydenov
Journal:  Biomed Eng Online       Date:  2006-05-18       Impact factor: 2.819

3.  Individually Rate Corrected QTc Intervals in Children and Adolescents.

Authors:  Irena Andršová; Katerina Hnatkova; Kateřina Helánová; Martina Šišáková; Tomáš Novotný; Petr Kala; Marek Malik
Journal:  Front Physiol       Date:  2019-08-02       Impact factor: 4.566

Review 4.  Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease.

Authors:  Jaroslav Vondrak; Marek Penhaker
Journal:  Front Physiol       Date:  2022-03-21       Impact factor: 4.755

  4 in total

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