A New Approach of Noise Elimination Methodology for ECG Signal

Jannatul Robaiat Mou; Sheikh Md. Rabiul Islam; Xu HUANG; Keng Liang Ou

doi:10.1109/ECACE.2017.7913035

A New Approach of Noise Elimination Methodology for ECG Signal

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

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering
Editors	Mohammad Shamsul Arefin
Place of Publication	Taiwan
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	921-927
Number of pages	7
ISBN (Electronic)	9781509056262
ISBN (Print)	9781509056286
DOIs	https://doi.org/10.1109/ECACE.2017.7913035
Publication status	Published - 26 Apr 2017
Event	International Conference on Electrical, Computer and Communication Engineering (ECCE) - Bangladesh, Bangladesh, Bangladesh Duration: 16 Feb 2017 → 18 Feb 2017

Publication series

Name	ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering

Conference

Conference	International Conference on Electrical, Computer and Communication Engineering (ECCE)
Abbreviated title	ECCE 2017
Country/Territory	Bangladesh
City	Bangladesh
Period	16/02/17 → 18/02/17

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10.1109/ECACE.2017.7913035

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 M. S. Arefin (Ed.), ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering (pp. 921-927). Article 7913035 (ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ECACE.2017.7913035

Mou, Jannatul Robaiat ; Islam, Sheikh Md. Rabiul ; HUANG, Xu et al. / A New Approach of Noise Elimination Methodology for ECG Signal. ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering. editor / Mohammad Shamsul Arefin. Taiwan : IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 921-927 (ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering).

@inproceedings{ef71111400c74bbd8a10c13072bb988c,

title = "A New Approach of Noise Elimination Methodology for ECG Signal",

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.",

keywords = "ECG, Forward and robustness, MSE, SNR",

author = "Mou, \{Jannatul Robaiat\} and Islam, \{Sheikh Md. Rabiul\} and Xu HUANG and Ou, \{Keng Liang\}",

year = "2017",

month = apr,

day = "26",

doi = "10.1109/ECACE.2017.7913035",

language = "English",

isbn = "9781509056286",

series = "ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "921--927",

editor = "Arefin, \{Mohammad Shamsul\}",

booktitle = "ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering",

address = "United States",

note = "International Conference on Electrical, Computer and Communication Engineering (ECCE), ECCE 2017 ; Conference date: 16-02-2017 Through 18-02-2017",

}

Mou, JR, Islam, SMR, HUANG, X & Ou, KL 2017, A New Approach of Noise Elimination Methodology for ECG Signal. in MS Arefin (ed.), ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering., 7913035, ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering, IEEE, Institute of Electrical and Electronics Engineers, Taiwan, pp. 921-927, International Conference on Electrical, Computer and Communication Engineering (ECCE), Bangladesh, Bangladesh, 16/02/17. 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 et al.
ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering. ed. / Mohammad Shamsul Arefin. Taiwan: IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 921-927 7913035 (ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - A New Approach of Noise Elimination Methodology for ECG Signal

AU - Mou, Jannatul Robaiat

AU - Islam, Sheikh Md. Rabiul

AU - HUANG, Xu

AU - Ou, Keng Liang

PY - 2017/4/26

Y1 - 2017/4/26

N2 - 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.

AB - 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.

KW - ECG

KW - Forward and robustness

KW - MSE

KW - SNR

UR - https://www.scopus.com/pages/publications/85019250405

U2 - 10.1109/ECACE.2017.7913035

DO - 10.1109/ECACE.2017.7913035

M3 - Conference contribution

SN - 9781509056286

T3 - ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering

SP - 921

EP - 927

BT - ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering

A2 - Arefin, Mohammad Shamsul

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Taiwan

T2 - International Conference on Electrical, Computer and Communication Engineering (ECCE)

Y2 - 16 February 2017 through 18 February 2017

ER -

Mou JR, Islam SMR, HUANG X, Ou KL. A New Approach of Noise Elimination Methodology for ECG Signal. In Arefin MS, editor, ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering. Taiwan: IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 921-927. 7913035. (ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering). doi: 10.1109/ECACE.2017.7913035

A New Approach of Noise Elimination Methodology for ECG Signal

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