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

研究成果: 書貢獻/報告類型 › 會議貢獻

1 引文斯高帕斯（Scopus）

摘要

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.

原文	英語
主出版物標題	ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	921-927
頁數	7
ISBN（電子）	9781509056262
DOIs	https://doi.org/10.1109/ECACE.2017.7913035
出版狀態	已發佈 - 4月 26 2017
事件	2017 International Conference on Electrical, Computer and Communication Engineering, ECCE 2017 - Cox's Bazar, 孟加拉国持續時間: 2月 16 2017 → 2月 18 2017

其他

其他	2017 International Conference on Electrical, Computer and Communication Engineering, ECCE 2017
國家/地區	孟加拉国
城市	Cox's Bazar
期間	2/16/17 → 2/18/17

ASJC Scopus subject areas

資訊系統
訊號處理
電氣與電子工程
儀器
電腦科學應用
電腦網路與通信

存取文件

10.1109/ECACE.2017.7913035

其它文件與鏈接

引用此

Mou, JR, Islam, SMR, Huang, X & Ou, KL 2017, A new approach of noise elimination methodology for ECG signal. 於 ECCE 2017 - International Conference on Electrical, Computer and Communication Engineering., 7913035, Institute of Electrical and Electronics Engineers Inc., 頁 921-927, 2017 International Conference on Electrical, Computer and Communication Engineering, ECCE 2017, Cox's Bazar, 孟加拉国, 2/16/17. https://doi.org/10.1109/ECACE.2017.7913035

@inproceedings{22b614e0676f44d8a0b9501280bfdbde,

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",

pages = "921--927",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

}

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 - http://www.scopus.com/inward/record.url?scp=85019250405&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85019250405&partnerID=8YFLogxK

U2 - 10.1109/ECACE.2017.7913035

DO - 10.1109/ECACE.2017.7913035

M3 - Conference contribution

AN - SCOPUS:85019250405

SP - 921

EP - 927

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Conference on Electrical, Computer and Communication Engineering, ECCE 2017

Y2 - 16 February 2017 through 18 February 2017

ER -

A new approach of noise elimination methodology for ECG signal

摘要

其他

ASJC Scopus subject areas

存取文件

其它文件與鏈接

指紋

引用此