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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 53-473
Full Name: hadi mazidi
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: tehran
Country: IRAN
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E-mail address: mazidi_hadi@yahoo.com
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Title of the Paper: A new method for Detection PVC and VT arrhythmias
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Number of paper pages: 10
Abstract: Inability of the heart to function properly is the largest amount of the masses reason of death nowadays. consisting of a great number of disease which affects the heart's ability to function can be detected by means of analyzing electrocardiogram (ECG).The analysis of ECG signal, particularly the QRS complex as the most distinctive wave, is a widely accepted access to study and to classify cardiac malfunction. Three-layer RNN based architecture announces to automatically diagnosis Premature Ventricular Contraction (PVC) and Ventricular Tachycardia (VT). The first layer at the submitted RNN included Fourier Spectrum, QRS band's width and R-R intervals and the second layer-included outputs from the preceding layer and the last layer indicate the kind of the arrhythmias. The empirical results show improvement of preciseness in automatically diagnosis PVC and VT, as contrasted to similar technique of higher complexity.
Keywords: - ECG, RNN, Fourier Spectrum, VT, PVC, Beat Detection
EXTENSION of the file: .doc
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