Published November 30, 2022 | Version CC BY-NC-ND 4.0
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Implementation of Optimized Filter Order to the PSD Analysis of QRS Detected ECG Signal

  • 1. Department of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh

Description

Abstract: Filtration of ECG signal is an important part in the analysis and signal processing of ECG signal. There are different types of digital and analog filters available for the filtration of an ECG signal. And choosing the right filter order for different filters has always been a tough task in biomedical signal processing. This study aims to solve this problem of filter order optimization by cascading digital filters and evaluating their performance based on SNR using ECG-ID Database from PHYSIONET. Besides, this optimized filter order has been applied to both normal and abnormal QRS detected ECG signals to choose the right filter order based on average power received from PSD analysis. QRS detection has been performed by differentiation technique. In this study, design of the filters has been carried out using MATLAB software based FDA tool in both monitoring and diagnostic modes. This analysis has strong potential for analyzing low amplitude based biological signals like ECG or EEG.

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Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved.

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Journal article: 2277-3878 (ISSN)

References

  • N. Das, and M. Chakraborty, "Performance analysis of FIR and IIR filters for ECG signal denoising based on SNR." Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). IEEE, 2017.
  • Saxena, S. Saxena, J. Rohan, and M. Hota, "Removal of powerline interference from ECG signal using FIR, IIR, DWT and NLMS adaptive filter." International conference on communication and signal processing (ICCSP). IEEE, 2019.
  • R. Chitra, and Priya E., "Digital Filter Implementation for Removal of Baseline Wander in ECG Signals." Advances in Automation, Signal Processing, Instrumentation, and Control, Springer, Singapore, pp. 2711-2718, 2021.
  • M. Gusev, and Ervin D. Ervin. "Optimal DSP bandpass filtering for QRS detection." 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2018.
  • S. Saha, "Noise Suppressing Cascaded IIR Elliptic Filter Design for ECG Signals." Proceedings of the 3rd International Conference on Communication, Devices and Computing, Springer, Singapore, 2022.
  • Y. A. Altay, A. S. Kremlev, & K. A. Zimenko, "A new ECG signal processing method based on wide-band notch filter." IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), pp. 1464-1469), 2020.
  • S. Selvaraj, et al. "Filtering the ECG Signal towards Heart Attack Detection using Motion Artifact Removal Technique." 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). IEEE, 2021.

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ISSN: 2277-3878 (Online)
https://portal.issn.org/resource/ISSN/2277-3878
Retrieval Number: 100.1/ijrte.D73281111422
https://www.ijrte.org/portfolio-item/d73281111422/
Journal Website: www.ijrte.org
https://www.ijrte.org/
Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
https://www.blueeyesintelligence.org/