Mar. 25, 2009 to Mar. 27, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/UKSIM.2009.45
In this paper, we describe the ECG PQRST key features detector based on dyadic wavelet transform (DyWT) which is robust to time varying & noise. This method analyses ECG waveform. It includes noise purification, sample design of digital ECG. This method can implement ECG report in real time and provide exact explanation for diagnostic decision obtained. We exemplify the performance of the DyWT based PQRST detector by considering problematic ECG signal from MIT-BIH data base. From the results we observed that DyWT based detector exhibited superior performance compared to standard techniques. This paper discusses the use of digital signal processing approach for the use of fault diagnosis of heart.
MIT-BIH database, dyadic wavelet transform (DyWT), PQRST detector, fault diagnosis
D.T. Ingole, Kishore Kulat, M.D. Ingole, "Wavelet Preprocessed Electrocardiogram Potentials and Automated Fault Diagnosis of Heart", UKSIM, 2009, Computer Modeling and Simulation, International Conference on, Computer Modeling and Simulation, International Conference on 2009, pp. 206-211, doi:10.1109/UKSIM.2009.45