ECG noise thresholding based on moving average

Jun Ueno; Huan Ke Chiu; Cheng Hsun Lin; Yi Chun Lin; Li Ren Huang; Cihun Siyong Alex Gong

doi:10.1109/ICCE-TW.2015.7216847

ECG noise thresholding based on moving average

Jun Ueno, Huan Ke Chiu, Cheng Hsun Lin, Yi Chun Lin, Li Ren Huang, Cihun Siyong Alex Gong

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Noise cancellation is very important step for ECG signal processing. For this problem, there are many methods had been applied. For example, Wavelet based de-noises, EMD based de-noise, Kalman based de-noise, etc. for resource very limited system, the above method may be not fit into the system resource. Algorithm complexity and resource requirement will be the major concern in this work. In this paper, a new processing flow is proposed. it is combined two concepts, one is moving average and another is soft-thresholding. First, we will explain the whole process. Next, the performance will be discussed. And at the last, we will talk about the possible way to improvement the flow.

Original language	English
Title of host publication	2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	188-189
Number of pages	2
ISBN (Electronic)	9781479987443
DOIs	https://doi.org/10.1109/ICCE-TW.2015.7216847
State	Published - 20 08 2015
Event	2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, Taiwan Duration: 06 06 2015 → 08 06 2015

Publication series

Name	2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Conference

Conference	2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
Country/Territory	Taiwan
City	Taipei
Period	06/06/15 → 08/06/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Complexity theory
Electrocardiography
Filtering algorithms
Noise
Noise reduction
Signal processing algorithms

Access to Document

10.1109/ICCE-TW.2015.7216847

Cite this

Ueno, J., Chiu, H. K., Lin, C. H., Lin, Y. C., Huang, L. R., & Gong, C. S. A. (2015). ECG noise thresholding based on moving average. In 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 (pp. 188-189). Article 7216847 (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW.2015.7216847

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title = "ECG noise thresholding based on moving average",

abstract = "Noise cancellation is very important step for ECG signal processing. For this problem, there are many methods had been applied. For example, Wavelet based de-noises, EMD based de-noise, Kalman based de-noise, etc. for resource very limited system, the above method may be not fit into the system resource. Algorithm complexity and resource requirement will be the major concern in this work. In this paper, a new processing flow is proposed. it is combined two concepts, one is moving average and another is soft-thresholding. First, we will explain the whole process. Next, the performance will be discussed. And at the last, we will talk about the possible way to improvement the flow.",

keywords = "Complexity theory, Electrocardiography, Filtering algorithms, Noise, Noise reduction, Signal processing algorithms",

author = "Jun Ueno and Chiu, \{Huan Ke\} and Lin, \{Cheng Hsun\} and Lin, \{Yi Chun\} and Huang, \{Li Ren\} and Gong, \{Cihun Siyong Alex\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 ; Conference date: 06-06-2015 Through 08-06-2015",

year = "2015",

month = aug,

day = "20",

doi = "10.1109/ICCE-TW.2015.7216847",

language = "英语",

series = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",

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

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Ueno, J, Chiu, HK, Lin, CH, Lin, YC, Huang, LR & Gong, CSA 2015, ECG noise thresholding based on moving average. in 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015., 7216847, 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015, Institute of Electrical and Electronics Engineers Inc., pp. 188-189, 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015, Taipei, Taiwan, 06/06/15. https://doi.org/10.1109/ICCE-TW.2015.7216847

ECG noise thresholding based on moving average. / Ueno, Jun; Chiu, Huan Ke; Lin, Cheng Hsun et al.
2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 188-189 7216847 (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - ECG noise thresholding based on moving average

AU - Ueno, Jun

AU - Chiu, Huan Ke

AU - Lin, Cheng Hsun

AU - Lin, Yi Chun

AU - Huang, Li Ren

AU - Gong, Cihun Siyong Alex

PY - 2015/8/20

Y1 - 2015/8/20

N2 - Noise cancellation is very important step for ECG signal processing. For this problem, there are many methods had been applied. For example, Wavelet based de-noises, EMD based de-noise, Kalman based de-noise, etc. for resource very limited system, the above method may be not fit into the system resource. Algorithm complexity and resource requirement will be the major concern in this work. In this paper, a new processing flow is proposed. it is combined two concepts, one is moving average and another is soft-thresholding. First, we will explain the whole process. Next, the performance will be discussed. And at the last, we will talk about the possible way to improvement the flow.

AB - Noise cancellation is very important step for ECG signal processing. For this problem, there are many methods had been applied. For example, Wavelet based de-noises, EMD based de-noise, Kalman based de-noise, etc. for resource very limited system, the above method may be not fit into the system resource. Algorithm complexity and resource requirement will be the major concern in this work. In this paper, a new processing flow is proposed. it is combined two concepts, one is moving average and another is soft-thresholding. First, we will explain the whole process. Next, the performance will be discussed. And at the last, we will talk about the possible way to improvement the flow.

KW - Complexity theory

KW - Electrocardiography

KW - Filtering algorithms

KW - Noise

KW - Noise reduction

KW - Signal processing algorithms

UR - https://www.scopus.com/pages/publications/84959526125

U2 - 10.1109/ICCE-TW.2015.7216847

DO - 10.1109/ICCE-TW.2015.7216847

M3 - 会议稿件

AN - SCOPUS:84959526125

T3 - 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

SP - 188

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BT - 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Y2 - 6 June 2015 through 8 June 2015

ER -

Ueno J, Chiu HK, Lin CH, Lin YC, Huang LR, Gong CSA. ECG noise thresholding based on moving average. In 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 188-189. 7216847. (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015). doi: 10.1109/ICCE-TW.2015.7216847

ECG noise thresholding based on moving average

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