f Improved PID based Adaptive Controllers for Denoising Biomedical Signals
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Research Article |

Improved PID based Adaptive Controllers for Denoising Biomedical Signals

Author(s): Sanjay M Gulhane*, Abhay R Kasetwar, Dr. Vicky Butram and Dr. Milind Narlawar

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 3

Publisher : FOREX Publication

Published : 20 September 2024

e-ISSN : 2347-470X

Page(s) : 1051-1059

DOI: https://doi.org/10.37391/IJEER.120340

Abstract

Biomedical signal processing is one of the most popular research domains. Very fine features in biomedical signals carry important information regarding patient’s health. So, it is necessary to have noise free biomedical signals for the correct diagnosis. The major trouble for biomedical equipment is Power Line Interference (PLI) which impairs the signals. An adaptive filter can be one of the possible solutions for the removal of non-stationary noise, but maintaining the system stability along with a high convergence rate is a critical issue. The adaptive algorithm works on the principle of minimization of error for optimized coefficients updating while PID controller attempts to minimize the error over time by adjusting the control variables. In this paper, these two different approaches are combined to get an efficient solution for adaptive PLI cancellation and two new algorithms namely PID-based Response Adjustment for Reducing Error (PID-RARE) and PID-based Coefficient Adjustment for Reducing Error (PID-CARE) are proposed. The integration of NSLMS adaptive algorithm with PID controller in the proposed algorithms are found to be an effective solution to adaptive PLI cancellation and have shown quite better performance in terms of SNRout, correlation coefficient, mean square error thereby providing more cleaner signal at lesser convergence rate.

Keywords: Biomedical Signal, Power line Interference, PID, PLI Canceller, Adoptive Canceller, Denoising, ECG.




Sanjay M Gulhane*, Department of Electronics and Telecommunication Engineering, Pravara Rural Engineering College, Loni Maharashtra, India; Email: sanjay.gulhane@pravara.in

Abhay R Kasetwar, Department of Electronics and Telecommunication Engineering, S. B. Jain Institute of Technology Management and Research, Nagpur, Maharashtra, India; Email: abhaykasetwar@gmail.com

Dr. Vicky Butram, Assistant Professor, Electronics and Computer Science Department, Ramdeobaba University, Nagpur; Email: butramv@rknec.edu

Dr. Milind Narlawar, Assistant Professor, Electronics and Telecommunication Engineering Department, Yeshwantrao Chavan College of Engineering, Nagpur; Email: narlawar_milind@yahoo.co.in

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Sanjay M Gulhane, Abhay R Kasetwar, Dr. Vicky Butram and Dr. Milind Narlawar (2024), Improved PID based Adaptive Controllers for Denoising Biomedical Signals. IJEER 12(3), 1051-1059. DOI: 10.37391/IJEER.120340.