Myocardial Ischemia Detection Algorithm (MIDA): automated echocardiography sequence analysis for diagnosis of heart muscle damage

Vijayalakshmi Ahanathapillai, John Soraghan

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

3 Citations (Scopus)

Abstract

A Myocardial Ischemia Detection Algorithm (MIDA) is presented that analyses echocardiography sequences automatically in order to detect the presence of heart
muscle damage. MIDA involves an image enhancement, fuzzy multi resolution edge detection to obtain the heart wall boundaries, composite motion image creation using
the heart wall boundaries, followed by statistical pattern recognition and classification to identify the heart wall abnormality. The performance of MIDA is assessed using 62 real patient data with both normal and abnormal conditions. The results indicate that MIDA can be used as an effective tool for automatically diagnosing Myocardial Ischemia
Original languageEnglish
Title of host publicationComputing in Cardiology 2010
EditorsAlan Murray
PublisherIEEE
Pages405-408
Number of pages4
ISBN (Print)9781424473182
Publication statusPublished - Dec 2010
EventInternational Conference on Computers in Cardiology - Belfast, United Kingdom
Duration: 26 Sep 201029 Sep 2010

Conference

ConferenceInternational Conference on Computers in Cardiology
CountryUnited Kingdom
CityBelfast
Period26/09/1029/09/10

Keywords

  • support vector machine classification
  • cavity resonators
  • feature extraction
  • heart
  • image edge detection
  • noise
  • principal component analysis

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  • Cite this

    Ahanathapillai, V., & Soraghan, J. (2010). Myocardial Ischemia Detection Algorithm (MIDA): automated echocardiography sequence analysis for diagnosis of heart muscle damage. In A. Murray (Ed.), Computing in Cardiology 2010 (pp. 405-408). IEEE.