Denoising of ECG Signals Using Wavelet Transform and Principal Component Analysis

8 Pages Posted: 14 Jun 2019

See all articles by Sameera Shridhar

Sameera Shridhar

School of Electronics Engineering, Vellore Institute of Technology, Vellore- 632014, India

Yepuganti Karuna

School of Electronics Engineering, Vellore Institute of Technology, Vellore- 632014, India

Saritha Saladi

School of Electronics Engineering, Vellore Institute of Technology, Vellore- 632014, India

Ramachandra Reddy

School of Electronics Engineering, Vellore Institute of Technology, Vellore- 632014, India

Date Written: March 20, 2019

Abstract

Electrocardiogram (ECG) is used for the analysis of the electrical activity of the heart. Processing of these ECG signals is thus important for detecting the presence of any abnormalities or onset of diseases. Distortion due to noise results in changes in the amplitude and frequency of the signal obtained, resulting in an inaccurate diagnosis. Various denoising techniques have been employed to remove noise or extract critical information from the signal. This paper attempts to study Discrete Wavelet Transform (DWT), Principal Component Analysis and associated parameters such as wavelet family, thresholding method and component analysis rule. Through results analysis, it was determined that Symlet wavelet family provided the best results for noise removal of the signals with its high SNR and PSNR values and it was observed that the scaling function of a symlet resembles that of a clean ECG signal.

Keywords: Electrocardiogram, Denoising, Discrete Wavelet Transform, Principal Component Analysis, Symlet

Suggested Citation

Shridhar, Sameera and Karuna, Yepuganti and Saladi, Saritha and Reddy, Ramachandra, Denoising of ECG Signals Using Wavelet Transform and Principal Component Analysis (March 20, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019. Available at SSRN: https://ssrn.com/abstract=3356368 or http://dx.doi.org/10.2139/ssrn.3356368

Sameera Shridhar (Contact Author)

School of Electronics Engineering, Vellore Institute of Technology, Vellore- 632014, India ( email )

Yepuganti Karuna

School of Electronics Engineering, Vellore Institute of Technology, Vellore- 632014, India ( email )

Saritha Saladi

School of Electronics Engineering, Vellore Institute of Technology, Vellore- 632014, India ( email )

Ramachandra Reddy

School of Electronics Engineering, Vellore Institute of Technology, Vellore- 632014, India ( email )

Register to save articles to
your library

Register

Paper statistics

Downloads
15
Abstract Views
78
PlumX Metrics