Browsing Cilt 07, Sayı 2 (2017) by Subject "Classification"
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A study of artificial neural network training algorithms for classification of cardiotocography signals
(Bitlis Eren Üniversitesi, 2017)Cardiotocography (CTG) containing of fetal heart rate (FHR) and uterine contraction (UC) signals is a monitoring technique. During the last decades, FHR signals have been classified as normal, suspicious, and pathological ... -
Diagnostic model for identification of myocardial infarction from electrocardiography signals
(Bitlis Eren Üniversitesi, 2017)Electrocardiography (ECG) is a useful test used commonly to observe the electrical activity of a heart. Recently, a growing relationship has been observed between diagnosis of any heart disease and using of machine ...
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