An Efficient Method for Noise Removal in PPG Signals Using Wavelet De-Noising

Authors(2) :-Sharmila B, Arafat Abudullah A

Wavelet de-noising represents a common pre-processing step for several biomedical applications exposing low SNR. These applications require real time processing along with minimization of power and area, only custom VLSI implementations can be adopted for this fulfilment. In this paper, Photo plethysmography (PPG) signal is used as a biomedical signal as an example. PPG is a non-invasive method in which relative blood volume changes in the blood close to skin is measured. The “pulse waveform” never underwent intensive investigation. Active investigation efforts are opening to reveal its effectiveness beyond oxygen saturation and determination of heart rate. With the introduction of pulse oximeter, this is one of the important waveforms that are normally displayed in the clinical settings nowadays. But, the acquired PPG signal using PPG sensors are usually corrupted with different kinds of interference like Motion Artifacts, Power Line Noise, etc. We consider Power Line Noise for the performance evaluation of VLSI Wavelet based denoising of PPG signal. Different kinds of Wavelets such as db4, Coif1, Haar for denoising.

Authors and Affiliations

Sharmila B
Master's Degree Program in VLSI in Vandayar Engineering College, hanjavur, Tamilnadu, India
Arafat Abudullah A
Assistant Professor, Department of ECE in Vandayar Engineering College, Thanjavur, Tamilnadu, India

Motion artifact; Wavelet transform; De-noising, Wavelet, Heart rate, Power line interference, wavelet de-noising

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 673-676
Manuscript Number : CSEIT1725152
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sharmila B, Arafat Abudullah A, "An Efficient Method for Noise Removal in PPG Signals Using Wavelet De-Noising", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.673-676, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT1725152

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