Paper Review on De-noising pf ECG signal

Published in: Signal Processing Systems (SiPS), 2015 IEEE Workshop
Link: https://ieeexplore.ieee.org/document/7344997/
Topic-Denoising and Baseline Correction of ECG Signals using Sparse Representation

In the above paper, the authors have documented of de-noising of thinly dispersed ECG signal and baseline correction approach.Thinly dispersed and superfluous representation is a signal
processing method which can be used effectively and can be implemented to learn the inner structure from given noisy input signals. The characteristics of various waves P- and T- waves and the QRS complexes which are present in the ECG signals and also the smooth varying baseline wandering which are unknown information in the learned dictionaries of the above-mentioned denoising method. this learned dictionary is used to denoise the ECG signal and also and effectively reconstruct using specific atoms in the dictionary and remove the baseline wandering which are present in the signals. Also, they have given details of experimental recordings which are demonstrated in the paper proves that their method can be effectively implemented to remove the noisy and baseline wandering in an ECG signal while maintaining the natural ECG waves. Also, the important thing which is to be noted is the proposed methodology is said to be nearly independent of any parameter thus it makes it open to automized ECG analysis systems. Thus this method can be implemented generally in clinical situations.