Eigenhearts for diagnosis of congestive heart failure (CHF)

Vijayalakshmi Ahanathapillai, David Hamilton

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

2 Citations (Scopus)

Abstract

Common cardiac diseases such as cardio-myopathy, coronary artery diseases, and valve diseases, result in abnormal myocardial movement, which could eventually lead to heart failure, also called congestive heart failure (CHF). CHF is a disease in which the heart's ability to pump blood efficiently is lost. Possible presence of this disease and location of the abnormal activity can be diagnosed from patient's scan images, by determining the wall motion abnormalities. In this paper, a new principal component analysis (PCA) technique, Eigenhearts, is presented to diagnose the abnormal contractility of heart wall. Experiments were carried out using a preliminary set of simulated scan data and the results are discussed.
LanguageEnglish
Title of host publicationIET 3rd international conference on advances in medical, signal and information processing proceedings, 2006. MEDSIP 2006.
Place of PublicationGlasgow
PublisherIEEE
Pages1-4
Number of pages4
ISBN (Print)9780863416583
DOIs
Publication statusPublished - 11 Jul 2006
Event3rd International Conference on Advances in Medical, Signal and Information Processing - Glasgow, United Kingdom
Duration: 17 Jul 200619 Jul 2006

Conference

Conference3rd International Conference on Advances in Medical, Signal and Information Processing
Abbreviated titleMEDSIP 2006
CountryUnited Kingdom
CityGlasgow
Period17/07/0619/07/06

Fingerprint

Principal component analysis
Blood
Pumps
Experiments

Keywords

  • congestive heart failure
  • echocardiography
  • eigenhearts
  • principal component analysis
  • PCA

Cite this

Ahanathapillai, V., & Hamilton, D. (2006). Eigenhearts for diagnosis of congestive heart failure (CHF). In IET 3rd international conference on advances in medical, signal and information processing proceedings, 2006. MEDSIP 2006. (pp. 1-4). Glasgow: IEEE. https://doi.org/10.1049/cp:20060390
Ahanathapillai, Vijayalakshmi ; Hamilton, David. / Eigenhearts for diagnosis of congestive heart failure (CHF). IET 3rd international conference on advances in medical, signal and information processing proceedings, 2006. MEDSIP 2006. . Glasgow : IEEE, 2006. pp. 1-4
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abstract = "Common cardiac diseases such as cardio-myopathy, coronary artery diseases, and valve diseases, result in abnormal myocardial movement, which could eventually lead to heart failure, also called congestive heart failure (CHF). CHF is a disease in which the heart's ability to pump blood efficiently is lost. Possible presence of this disease and location of the abnormal activity can be diagnosed from patient's scan images, by determining the wall motion abnormalities. In this paper, a new principal component analysis (PCA) technique, Eigenhearts, is presented to diagnose the abnormal contractility of heart wall. Experiments were carried out using a preliminary set of simulated scan data and the results are discussed.",
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Ahanathapillai, V & Hamilton, D 2006, Eigenhearts for diagnosis of congestive heart failure (CHF). in IET 3rd international conference on advances in medical, signal and information processing proceedings, 2006. MEDSIP 2006. . IEEE, Glasgow, pp. 1-4, 3rd International Conference on Advances in Medical, Signal and Information Processing, Glasgow, United Kingdom, 17/07/06. https://doi.org/10.1049/cp:20060390

Eigenhearts for diagnosis of congestive heart failure (CHF). / Ahanathapillai, Vijayalakshmi; Hamilton, David.

IET 3rd international conference on advances in medical, signal and information processing proceedings, 2006. MEDSIP 2006. . Glasgow : IEEE, 2006. p. 1-4.

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

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Ahanathapillai V, Hamilton D. Eigenhearts for diagnosis of congestive heart failure (CHF). In IET 3rd international conference on advances in medical, signal and information processing proceedings, 2006. MEDSIP 2006. . Glasgow: IEEE. 2006. p. 1-4 https://doi.org/10.1049/cp:20060390