Signal and image processing for early detection of coronary artery diseases: A review

Youness Mobssite*, B. Belhaouari Samir, Ahmed Fadzil B. Mohamad Hani

*Corresponding author for this work

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

Abstract

Today biomedical signals and image based detection are a basic step to diagnose heart diseases, in particular, coronary artery diseases. The goal of this work is to provide non-invasive early detection of Coronary Artery Diseases relying on analyzing images and ECG signals as a combined approach to extract features, further classify and quantify the severity of DCAD by using B-splines method. In an aim of creating a prototype of screening biomedical imaging for coronary arteries to help cardiologists to decide the kind of treatment needed to reduce or control the risk of heart attack.

Original languageEnglish
Title of host publicationInternational Conference on Fundamental and Applied Sciences 2012, ICFAS 2012
Pages712-723
Number of pages12
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2nd International Conference on Fundamental and Applied Sciences 2012, ICFAS 2012 - Kuala Lumpur, Malaysia
Duration: 12 Jun 201214 Jun 2012

Publication series

NameAIP Conference Proceedings
Volume1482
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2nd International Conference on Fundamental and Applied Sciences 2012, ICFAS 2012
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/06/1214/06/12

Keywords

  • B-splines
  • Biomedical Signaling and Imaging processing
  • Cardiovascular
  • Classification of coronary diseases
  • Detection of coronary artery diseases
  • Heart attack
  • Non-invasive detection of CAD
  • Plaque

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