Comert Z.Kocamaz A.F.2024-08-042024-08-0420159781467373869https://doi.org/10.1109/SIU.2015.7130409https://hdl.handle.net/11616/922862015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 through 19 May 2015 -- 113052Electrocardiography is widely used for diagnosis and assessment of cardiovascular diseases. Heart rate is a major determinant of ventricular action potential. Therefore, the QT interval varies to be inversely proportional to heart rate. The need of the calculation and correction of the QT interval arises from this situation. In this study, synthetic electrocardiography signals have been passed through a preprocessing process and reduction of noise has been provided by using principal component analysis. Then, signal features have been extracted and finally QT intervals have been analyzed with Bazett method. © 2015 IEEE.trinfo:eu-repo/semantics/openAccessBazettPrincipal component analysisQT analysisConference Object2569257210.1109/SIU.2015.71304092-s2.0-84939155634N/A