Segmentation of the Electrocardiography Images as a Tool to Identify Heart Diseases

Authors

  • Latifah Listyalina Department of Electrical Engineering, Faculty of Scince and Technology, Universitas Respati Yogyakarta
  • Dhimas Arief Dharmawan Universitas Muhammadiyah Yogyakarta http://orcid.org/0000-0003-1971-3214

DOI:

https://doi.org/10.18196/jet.3466

Keywords:

Heart, Detection, Segmentation

Abstract

The heart is a very vital organ. Cardiac examination can be done periodically by using an electrocardiograph. So that the heart's condition can be known. One of the optimization in helping the detection of heart disease automatically by using computer assistance. Automatic detection can be done by image processing methods as input, especially ECG images that have been segmented. In this study, ECG image segmentation is carried out through several stages, such as grayscalling, contrast enhancement, and segmentation. The hope, the results of this study can be used as input for automatic detection of heart disease.

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Published

2019-12-17

How to Cite

Listyalina, L., & Dharmawan, D. A. (2019). Segmentation of the Electrocardiography Images as a Tool to Identify Heart Diseases. Journal of Electrical Technology UMY, 3(4), 154–159. https://doi.org/10.18196/jet.3466

Issue

Vol. 3 No. 4 (2019): December

Section

Articles

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