A new approach of noise elimination methodology for ECG signal

Jannatul Robaiat Mou, Sheikh Md Rabiul Islam, Xu Huang, Keng Liang Ou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

ECG machines are usually used for medical diagnosis of heart activities of human body now days. It has created different types of noise and interference based on interfaces between ECG machines and human body. It can change the real amplitude and duration of the signal. In this paper we improved moving average filter and proposed moving average weighted window filter. We have also proposed an algorithm based on forward difference quotient and threshold for noise elimination of ECG signal. The numerical value of different performance parameters such as 23dB of SNR, lower of MSE , and approximately 1 of correlation is provide better clarification of simulation results than others and prove the robustness of the algorithms.

Original languageEnglish
Title of host publicationECCE 2017 - International Conference on Electrical, Computer and Communication Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages921-927
Number of pages7
ISBN (Electronic)9781509056262
DOIs
Publication statusPublished - Apr 26 2017
Event2017 International Conference on Electrical, Computer and Communication Engineering, ECCE 2017 - Cox's Bazar, Bangladesh
Duration: Feb 16 2017Feb 18 2017

Other

Other2017 International Conference on Electrical, Computer and Communication Engineering, ECCE 2017
CountryBangladesh
CityCox's Bazar
Period2/16/172/18/17

Fingerprint

human body
noise reduction
Electrocardiography
methodology
filters
quotients
interference
thresholds
simulation

Keywords

  • ECG
  • Forward and robustness
  • MSE
  • SNR

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Science Applications
  • Computer Networks and Communications

Cite this

Mou, J. R., Islam, S. M. R., Huang, X., & Ou, K. L. (2017). A new approach of noise elimination methodology for ECG signal. In ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering (pp. 921-927). [7913035] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECACE.2017.7913035

A new approach of noise elimination methodology for ECG signal. / Mou, Jannatul Robaiat; Islam, Sheikh Md Rabiul; Huang, Xu; Ou, Keng Liang.

ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering. Institute of Electrical and Electronics Engineers Inc., 2017. p. 921-927 7913035.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mou, JR, Islam, SMR, Huang, X & Ou, KL 2017, A new approach of noise elimination methodology for ECG signal. in ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering., 7913035, Institute of Electrical and Electronics Engineers Inc., pp. 921-927, 2017 International Conference on Electrical, Computer and Communication Engineering, ECCE 2017, Cox's Bazar, Bangladesh, 2/16/17. https://doi.org/10.1109/ECACE.2017.7913035
Mou JR, Islam SMR, Huang X, Ou KL. A new approach of noise elimination methodology for ECG signal. In ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering. Institute of Electrical and Electronics Engineers Inc. 2017. p. 921-927. 7913035 https://doi.org/10.1109/ECACE.2017.7913035
Mou, Jannatul Robaiat ; Islam, Sheikh Md Rabiul ; Huang, Xu ; Ou, Keng Liang. / A new approach of noise elimination methodology for ECG signal. ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 921-927
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