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Title: Performance Analysis of Cascaded Denoising Block for ECG Signal Analysis using Different Filters
Authors: Saini, Ashish
Nitesh Kumar
Aditya Raj
Jain, Shruti
Keywords: ECG, Electrical Activity
Adaptive filters
Issue Date: 2018
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Electrocardiography(ECGs)are necessary medical specialty signals that are reflective of an electrical activity of theheart. Within the recent years there has been an intensive analysis withthe intent of developing economical and effective ways of process & analysis of graphical record ECG signals.This paper presents the review of various papers based on the analysis of ECG. Later this paper illustrates various noise removal techniques.In this paper, different low pass IIR filter, high pass FIR filter, notch filter and adaptive filter has been designed by using various approximation methods, windowing techniques and algorithms. Comparisons of two physical parameters i.e. signal to noise ratio (SNR) and power spectral density (PSD) has been done on the basis of before and after filtering. These filters have been designed using MATLAB R2016a. Results with the best filters were cascaded to attain denoised ECG signal better performance. The cascaded filter design gives the high SNR of 2.1081dB and low PSD i.e. -71.7429.
ISSN: 0973-7529
Appears in Collections:Conference Papers

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