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ECG-based detection of left ventricle hypertrophy
Zago, Gabriel Tozatto; Andreão, Rodrigo Varejão; Rodrigues, Sérgio Lamego; Mill, José Geraldo; Sarcinelli Filho, Mário.
  • Zago, Gabriel Tozatto; Instituto Federal do Espírito Santo. Departamento de Automação Industrial. Serra. BR
  • Andreão, Rodrigo Varejão; Instituto Federal do Espírito Santo. Departamento de Automação Industrial. Serra. BR
  • Rodrigues, Sérgio Lamego; Instituto Federal do Espírito Santo. Departamento de Automação Industrial. Serra. BR
  • Mill, José Geraldo; Instituto Federal do Espírito Santo. Departamento de Automação Industrial. Serra. BR
  • Sarcinelli Filho, Mário; Instituto Federal do Espírito Santo. Departamento de Automação Industrial. Serra. BR
Res. Biomed. Eng. (Online) ; 31(2): 125-132, Apr-Jun/2015. tab, graf
Article in English | LILACS | ID: biblio-829425
ABSTRACT
Introduction Left ventricle hypertrophy (LVH) is an important risk factor for cardiovascular morbidity and mortality. It is characterized by a thickening of the walls of the left ventricle. The transthoracic echocardiogram is a very accurate method for LVH detection. However, the electrocardiogram (ECG) offers an alternative method in diagnosing LVH, besides being less expensive and easier to obtain. In this context, this study proposes an ECG based approach for left ventricle hypertrophy (LVH) classification. Methods According to the literature, several indexes have so far been proposed that suggest specific changes in cardiac structure, however, generally speaking there is no consensus about the best criteria. This way, instead of considering only one LVH criterion, a score derived from electrocardiographic traces was employed which explores the complementarity of the best criteria through a fusion strategy. The best criteria are those which discriminate normal and LVH ECGs. Results The experiments were performed in the Monica database with a group of fifty men. Half of the individuals had LVH diagnosed by calculating the left ventricular mass index measured by transthoracic echocardiography. The score fusion proposed achieved a sensitivity of 78.3% and specificity of 91.3%, outperforming all isolated LVH criteria. Discussion Unlike the other methods, our score must be estimated within a computer because of its high complexity. Even with this limitation it is much less expensive than using the echocardiography.


Full text: Available Index: LILACS (Americas) Type of study: Diagnostic study / Risk factors Language: English Journal: Res. Biomed. Eng. (Online) Journal subject: Engenharia Biom‚dica Year: 2015 Type: Article Affiliation country: Brazil Institution/Affiliation country: Instituto Federal do Espírito Santo/BR

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Full text: Available Index: LILACS (Americas) Type of study: Diagnostic study / Risk factors Language: English Journal: Res. Biomed. Eng. (Online) Journal subject: Engenharia Biom‚dica Year: 2015 Type: Article Affiliation country: Brazil Institution/Affiliation country: Instituto Federal do Espírito Santo/BR