Akut koroner sendromların otomatik ST/T sınıflandırıcısı ile erken tanısı

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Early diagnosis of acute coronary syndromes with automatic.pdf (781.12 KB)

Date

2014-10

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18th National Biomedical Engineering Meeting, BIYOMUT 2014

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IEEE

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1 - 4

Language

Turkish

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Conference Paper

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Abstract

In patients with acute coronary syndrome, temporary chest pains together with changes in ECG ST segment and T wave occur shortly before the start of myocardial infarction. In order to diagnose acute coronary syndromes early, a new technique which detects changes in ECG ST/T sections is developed. As a result of implementing the developed technique to real ECG recordings, it is shown that the proposed technique provides reliable detections. Therefore, the developed technique is expected to provide early diagnosis of acute coronary syndromes which will lead to a significant decrease in heart failure and mortality rates. © 2014 IEEE.

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Acute coronary syndrome, Acute myocardial infarction, Electrocardiogram (ECG) signal classification, Feature detection, Kernel method, Support vector machine (SVM), Biomedical engineering, Cardiology, Diseases, Electrocardiography, Heart, Support vector machines, Diagnosis

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http://hdl.handle.net/11693/27543

Published Version (Please cite this version)

http://dx.doi.org/10.1109/BIYOMUT.2014.7026388

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Scholarly Publications - Electrical and Electronics Engineering