An intelligent classifier for heart health- based on radial myocardial strain and electrocardiogram

Pei Kuang Chao*, Hsiao Lung Chan, Chun Li Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Heart health is important for anyone everywhere. The electrocardiograms (ECG) and echocardiograms are common-used and critical clinical assessment of the heart. A classifier based on ECG and echocardiograms for identifying heart health and offering objective suggestion was proposed. Clinical data and cardiologists' diagnosis were used to evaluate the classifier. The accuracy rate to identify heart condition between healthy and ill was about 90% and over. Among the heart disease trials, which of them indicates to cardiac resynchronization therapy (CRT) can be distinguished with an accuracy rate of 75%. This work may facilitate clinical data reading and serve as a heart health consulter when needed. More factors will be investigated in future studies to keep upgrading the classifier.

Original languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
PublisherSpringer Verlag
Pages1337-1340
Number of pages4
Edition4
ISBN (Print)9783642038815
DOIs
StatePublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: 07 09 200912 09 2009

Publication series

NameIFMBE Proceedings
Number4
Volume25
ISSN (Print)1680-0737

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Country/TerritoryGermany
CityMunich
Period07/09/0912/09/09

Keywords

  • Classification
  • Echocardiograms
  • Electrocardiograms
  • Heart
  • Strain

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