An intelligent system for the tracking-localization of changes & exploratory analysis-of long-term ECG

N. Laskaris, G. Koudounis, S. Fotopoulos, A. Bezerianos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An interactive methodology for the analysis of long-term ECG is introduced. It is an anthropomimetic technique and consinsts of three parts. At the first stage, the clinicians' scan of the ECG traces is imitated and changes in the shape of QRS are quantified. In the sequel, a clinician involves in the interpretation of the most prominent changes providing the patient-dependent prototypes for the subsequent machine learning procedure. Finally, a classification scheme incorporates the portion of medical knowledge needed to explore the whole patient's ECG. This scheme, being very robust to noise, presents excellent generalization properties and can serve as a reliable automation in a future examination of the certain subject.

Original languageEnglish (US)
Title of host publicationMedical Informatics Europe 1997, MIE 1997
PublisherIOS Press
Pages546-550
Number of pages5
ISBN (Print)9051993439, 9789051993431
DOIs
StatePublished - Jan 1 1997
Event14th Conference on Medical Informatics Europe 1997, MIE 1997 - Thessaloniki, Greece
Duration: May 25 1997May 29 1997

Publication series

NameStudies in Health Technology and Informatics
Volume43
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other14th Conference on Medical Informatics Europe 1997, MIE 1997
Country/TerritoryGreece
CityThessaloniki
Period5/25/975/29/97

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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