Akut koroner sendromların otomatik ST/T sınıflandırıcısı ile erken tanısı

Date
2014-10
Advisor
Instructor
Source Title
18th National Biomedical Engineering Meeting, BIYOMUT 2014
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
1 - 4
Language
Turkish
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
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.

Course
Other identifiers
Book Title
Keywords
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
Citation
Published Version (Please cite this version)