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- W91188257 abstract "heart failure is the Most common reson of death nowadayes but if the medical help is given directly,the patient’s life may be saved in many cases.numerous heart diseases can be detected by means of analyzing Electrogrdiograms(ECG).the analysis of ECG signal,specially the QRS complex as the most characteristic wave,is a widely acceoted approach to study and to classify cardiac dysfunctions.changes in QRS complexes due to rhythm origination and conduction path with the fourier transform and calculated QRS band’s width were observed,and three kinds of rhythms were discriminated by a neural network.in this paper,we look at spectral and time estimation properties of Peramture Ventricular Contraction(PVC) and Ventricular Tachycardia(VT).in the first stage,extracted QRS complex.in the second stage calculated power spectrum and QRS band’s width and in the third stage classified rhythm by neural network.we achived 97% accuracy for NSR,92% for PVC and 95% for VT. Key-Words:-ECG,neural network,QRS complex, Power spectrum, VT, PVC,Time estimation" @default.
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- W91188257 date "2008-12-15" @default.
- W91188257 modified "2023-09-26" @default.
- W91188257 title "Peramture ventricular contraction and ventricular Tachycardia beat detection by using power and time estimation" @default.
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