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On-board processed results and theoretical results are consistent, validating the algorithm. Then, it has been implemented on Altera's FPGA and then verified on the evaluation board DE1-SoC. The algorithm has been implemented and successfully verified using MATLAB. Therefore, an equalisation filter has been properly designed, in order to cancel the distortions. The method uses wavelet denoising, subband coding, unfortunately introducing heavy linear distortions. The objective of this paper is to define a denoising algorithm improving the VLPs detection. VLP detection is strongly influenced by signal noise. Orabona, 4-70125 Bari, ItalyĪbstract: This paper deals with the accuracy of algorithms for the detection of ventricular late potentials (VLP) in an electrocardiographic signal (ECG), being associated with malignant arrhytmias and possible cardiac death. Orabona, 4-70125 Bari, Italy ' Electrical and Information Department, Politecnico di Bari, Via E. Title: Improving ECG signal denoising using wavelet transform for the prediction of malignant arrhythmiasĪuthors: Agostino Giorgio Cataldo Guaragnella Domenico Andrea GilibertiĪddresses: Electrical and Information Department, Politecnico di Bari, Via E. International Journal of Medical Engineering and Informatics.Inderscience Publishers - linking academia, business and industry through research It also could be used for upgrading ECG devices reliability in the field of heart diseases prevention. The results show that the algorithm capability to be implemented as programmable hardware.
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Article: Improving ECG signal denoising using wavelet transform for the prediction of malignant arrhythmias Journal: International Journal of Medical Engineering and Informatics (IJMEI) 2020 Vol.12 No.2 pp.135 - 150 Abstract: This paper deals with the accuracy of algorithms for the detection of ventricular late potentials (VLP) in an electrocardiographic signal (ECG), being associated with malignant arrhytmias and possible cardiac death.