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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	921-927
Number of pages	7
ISBN (Electronic)	9781509056262
DOIs	https://doi.org/10.1109/ECACE.2017.7913035
Publication status	Published - Apr 26 2017
Event	2017 International Conference on Electrical, Computer and Communication Engineering, ECCE 2017 - Cox's Bazar, Bangladesh Duration: Feb 16 2017 → Feb 18 2017

Other

Other	2017 International Conference on Electrical, Computer and Communication Engineering, ECCE 2017
Country/Territory	Bangladesh
City	Cox's Bazar
Period	2/16/17 → 2/18/17

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

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10.1109/ECACE.2017.7913035

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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. Institute of Electrical and Electronics Engineers Inc., 2017. p. 921-927 7913035.

Research output: Chapter in Book/Report/Conference proceeding › Conference 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

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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,

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doi = "10.1109/ECACE.2017.7913035",

language = "English",

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

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AU - Islam, Sheikh Md Rabiul

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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.

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KW - MSE

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

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A new approach of noise elimination methodology for ECG signal

Abstract

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Keywords

ASJC Scopus subject areas

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