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A new automated heart defect detection based on signals and systems concept
Author(s)
Date Issued
December 1, 2006
Type
Conference Paper
Abstract
In this paper, a new automated early-stage detection of heart defect is introduced. Based on the proposed technique, human heart is modeled as a pump system where ECG signal and PCG signal are defined to be command (input) and response (output) of the system, respectively. The ratio of discrete Fourier transform of both signals is employed to determine the transfer function H p(k) of a patient's heart system. The early-stage heart defect detection is fundamentally based on the correlation between the standard transfer function Hs(k) and the patient heart transfer function Hp (k). The obtained correlation measurement is fed to be the input of neural network to make decision whether or not patient's heart is normal. The proposed method provides satisfying results where negative and positive false rates approximately are 12.50% and 11.11%, respectively. ©2006 IEEE.
Citation
IEEE 2006 Biomedical Circuits and Systems Conference Healthcare Technology Biocas 2006, 73-76, 2006