MULTICLASS CLASSIFICATION OF CURRENT DENCITY DISTRIBUTION MAPS

Abstract

Magnetocardiography (MCG) is one of the main methods for determining the heart state and diagnosis of cardiovascular diseases. The main advantage of MCG is ability to represent the data obtained with this technique in the form of multidimensional arrays. This, in its turn, makes it possible to apply more sophisticated data analysis methods for diagnostics. The paper considers the representation of data in the form of discrete images – current density distribution maps. An overview of the methods of multiclass classification of such maps is presented, as well as an assessment of the efficiency of each classifier.

Authors and Affiliations

Є. Є. Удовиченко, А. О. Попов, І. А. Чайковський

Keywords

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  • EP ID EP580153
  • DOI -
  • Views 66
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How To Cite

Є. Є. Удовиченко, А. О. Попов, І. А. Чайковський (2018). MULTICLASS CLASSIFICATION OF CURRENT DENCITY DISTRIBUTION MAPS. Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки, 29(5), 133-137. https://europub.co.uk/articles/-A-580153