research-article

Motion artifact reduction in ambulatory ECG monitoring: an integrated system approach

Authors:

Torfinn Berset,

Julien Penders,

Nick Van Helleputte,

Chris Van Hoof,

Firat YaziciogluAuthors Info & Claims

WH '11: Proceedings of the 2nd Conference on Wireless Health

Article No.: 11, Pages 1 - 8

https://doi.org/10.1145/2077546.2077558

Published: 10 October 2011 Publication History

Abstract

Recent advances in low-power micro-electronics are revolutionizing ECG monitoring. Wearable patches now allow comfortable monitoring over several days. Achieving reliable and high integrity recording however remains a challenge, especially under daily-life activities. In this paper we present a system approach to motion artifact reduction in ambulatory recordings. A custom ultra-low-power ECG analog front-end read-out for simultaneous measurement of ECG and electrode-tissue impedance, from the same electrode, is reported. Integrating this front-end, we describe a wireless patch for the monitoring of 3-lead ECG, electrode electrical artifact and 3D-acceleration. Beyond ECG monitoring, this wireless patch provides the additional necessary data to filter out motion artifact. Two algorithm methods are tested. The first method applies ICA for de-noising multi-lead ECG recordings. The second method is an adaptive filter that uses skin/electrode impedance as the measurement of noise. Algorithms, circuits and system provide a platform for reliable ECG monitoring on-the-move.

References

[1]

Corventis, Nuvant (MCT) System specifications, PRM00056 12/09 Rev. B

[2]

iRhythm, Z100A4020.03, Oct. 2010

[3]

F. Yazicioglu, T. Torfs, J. Penders, I. Romero, H. Kim, P. Merken, B. Gyselinckx, H. J. Yoo, C. Van Hoof, "Ultra-low-power wireless sensor nodes", Proceedings of the 31 ^st Annual International Conference of the IEEE EMBS, Minneapolis, 2009.

[4]

J. Penders, J. van de Molengraft, M. Altini, F. Yazicioglu and C. Van Hoof, "A low-power wireless ECG necklace for reliable cardiac activity monitoring on-the-move", Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, in press.

[5]

Afonso V, Tompkins W, Nguyen T, Michler K, Luo S. Comparing stress ECG enhancement algorithms. IEEE Eng Med Biol Mag 1996;15:37--44.

[6]

Augustyniak P. Separating cardiac and muscular ECG components using adaptive modelling in time-frequency domain. Proc. of the WACBE World Congress on Bioengineering 2007.

[7]

Devlin PH, Mark RG, Ketchum JW. Detection electrode motion noise in ecg signals by monitoring electrode impedance. Computers in Cardiology 1984; 51--56.

[8]

Hamilton P, Curley M, Aimi R, Sae-Hau C. Comparison of methods for adaptive removal of motion artifact. Computers in Cardiology 2000; 27: 383--386.

[9]

Hamilton P, Curley M, Aimi R. Effect of adaptive motion-artifact reduction on QRS detection. Biomed Instrum Technol 2000; 34: 197--202.

[10]

Tong D, Bartels K, Honeyager K. Adaptive reduction of motion artifact in the electrocardiogram. Proc. Second Joint EMBS/BMES Conf 2002; 2: 1403--1404.

[11]

Raya M, Sison L. Adaptive noise cancelling of motion artifact in stress ECG signals using accelerometer. Proc. Second Joint EMBS/BMES Conf 2002; 2: 1756--1757.

[12]

Hyvärinen A, Oja E. Independent component analysis: Algorithms and applications. Neural Networks 2000; 13: 411--430.

Digital Library

[13]

Castells F, Cebrián A, Millet J. The role of independent component analysis in the signal processing of ECG recordings. Biomed Tech (Berl) 2007; 52(1): 18--24.

[14]

Palaniappan R, Khoon TE. Uni-channel PCA for noise reduction from ECG signals. Proc 1st International Bioengineering Conference 2004; 436--439.

[15]

Chawla MPS. A comparative analysis of principal component and independent component techniques for electrocardiograms. Neural Comput & Applic 2009; 18: 539--559.

Digital Library

[16]

N. Thakor and J. Webster, "The origin of skin potential and its variations," in Proc. Ann. Conf. Eng. Biol. Med., vol. 20, 1978, p. 212

[17]

R. Edelberg, "Local electrical response of the skin to deformation," Journal of Applied Physiology, vol. 34, pp. 334--340, 1973.

[18]

J. Muhlsteff and O. Such, "Dry electrodes for monitoring of vital signs in functional textiles," in Proc. 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEMBS '04, vol. 1, 2004, pp. 2212--2215.

[19]

Neuman M. R.; Biopotential Electrodes, In: Medical Instrumentation - Application and Design, 3rd ed., pp. 183--232, John Wiley & Sons, 1998

[20]

R. F. Yazicioglu, P. Merken, B. Puers, and C. Van Hoof, "A 60 μW 60nV/√Hz Readout Front-End for Portable Biopotential Acquisition Systems," IEEE J. of Solid State Circuits, vol. 42, no. 5, pp. 1100--1110, May 2007.

[21]

R. F. Yazicioglu, S. Kim, T. Torfs, H. Kim, and C. Van Hoof, "A 30μW Analog Signal Processor ASIC for Portable Biopotential Signal Monitoring" IEEE J. of Solid State Circuits, pp.209--223, Jan. 2011.

[22]

M. Puurtinen, J. Hyttinen, J. Malmivuo, "Optimizing bipolar electrode location for wireless ECG measurement --analysis of ECG signal strength and deviation between individuals", International Journal of Bioelectromagnetism, Vol. 7, No. 1, 2005

[23]

I. Romero et al. "Continuous wavelet transform modulus maxima analysis of the electrocardiogram: Beat characterisation and beat-to-beat measurement," International Journal of Wavelets, Multiresolution and Information Processing, Vol. 3, No. 1, pp. 19--42, 2005

[24]

I. Romero, "PCA-based Noise Reduction in Ambulatory ECGs" Computing in Cardiology, Vol. 37, pp. 677--680, 2010

[25]

Chi, Y. M.; Tzyy-Ping Jung; Cauwenberghs, G.;, "Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review," Biomedical Engineering, IEEE Reviews in, vol.3, no., pp.106--119, 2010

[26]

Ozertem, U.; Erdogmus, D.; Lan, T.;, "Recursive Generalized Eigendecomposition for Independent Component Analysis", in ICA 2006, LNCS 3889, pp. 198--205, 2006, J. Rosca et al. (Eds.)

Digital Library

Cited By

Sirtoli VLiamini MLins LLessard-Tremblay MCowan GZednik RGagnon G(2023)Removal of Motion Artifacts in Capacitive Electrocardiogram Acquisition: A ReviewIEEE Transactions on Biomedical Circuits and Systems10.1109/TBCAS.2023.327066117:3(394-412)Online publication date: Jun-2023
https://doi.org/10.1109/TBCAS.2023.3270661
Ju WMcConnell-Trevillion AKhan SNazarpour KMitra S(2023)A Feasibility Study on Textile Electrodes for Transcutaneous Electrical Nerve Stimulation2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)10.1109/NEWCAS57931.2023.10198106(1-5)Online publication date: 26-Jun-2023
https://doi.org/10.1109/NEWCAS57931.2023.10198106
Lee YKim MKim DPang C(2023)Intelligent structured nanocomposite adhesive for bioelectronics and soft robotsNano Research10.1007/s12274-023-6016-017:2(534-549)Online publication date: 29-Aug-2023
https://doi.org/10.1007/s12274-023-6016-0
Show More Cited By

Index Terms

Motion artifact reduction in ambulatory ECG monitoring: an integrated system approach
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics

Recommendations

An ECG patch combining a customized ultra-low-power ECG SoC with Bluetooth low energy for long term ambulatory monitoring
WH '11: Proceedings of the 2nd Conference on Wireless Health

This paper presents the development of an ECG patch aiming at long term patient monitoring. The use of the recently standardized Bluetooth Low Energy (BLE) technology, together with a customized ultra-low-power ECG System on Chip (ECG SoC). including ...
Development of a Technique for Cancelling Motion Artifact in Ambulatory ECG Monitoring System
ICCIT '08: Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology - Volume 01

ECG is a electrical signal generated by the heart and has a regular rhythm. ECG cycle, however, change depending on the person's activities and heart-related disorders. Therefore, waveform of the ECG signal can be analyzed to assess cardiac ...
Characterization of Single Lead Continuous ECG Recording with Various Dry Electrodes
ICCBB '19: Proceedings of the 2019 3rd International Conference on Computational Biology and Bioinformatics

Atrial fibrillation (AF) is a serious cardiovascular disease with irregular heart beating. It is the main cause of many heart diseases such as myocardial infarction. The current research focus on implementing attachable electrocardiogram (ECG) sensor ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

WH '11: Proceedings of the 2nd Conference on Wireless Health

October 2011

170 pages

ISBN:9781450309820

DOI:10.1145/2077546

General Chairs:
Irwin Mark Jacobs
Qualcomm Incorporated
,
Patrick Soon-Shiong
UCLA Wireless Health Institute
,
Eric Topol
West Wireless Institute
,
Chris Toumazou
Institute of Biomedical Engineering, Imperial College London

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

University of California: University of California

In-Cooperation

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 October 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

WH '11

Sponsor:

University of California

WH '11: Wireless Health 2011

October 10 - 13, 2011

California, San Diego

Acceptance Rates

Overall Acceptance Rate 35 of 139 submissions, 25%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

24
Total Citations
View Citations
977
Total Downloads

Downloads (Last 12 months)27
Downloads (Last 6 weeks)1

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Sirtoli VLiamini MLins LLessard-Tremblay MCowan GZednik RGagnon G(2023)Removal of Motion Artifacts in Capacitive Electrocardiogram Acquisition: A ReviewIEEE Transactions on Biomedical Circuits and Systems10.1109/TBCAS.2023.327066117:3(394-412)Online publication date: Jun-2023
https://doi.org/10.1109/TBCAS.2023.3270661
Ju WMcConnell-Trevillion AKhan SNazarpour KMitra S(2023)A Feasibility Study on Textile Electrodes for Transcutaneous Electrical Nerve Stimulation2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)10.1109/NEWCAS57931.2023.10198106(1-5)Online publication date: 26-Jun-2023
https://doi.org/10.1109/NEWCAS57931.2023.10198106
Lee YKim MKim DPang C(2023)Intelligent structured nanocomposite adhesive for bioelectronics and soft robotsNano Research10.1007/s12274-023-6016-017:2(534-549)Online publication date: 29-Aug-2023
https://doi.org/10.1007/s12274-023-6016-0
An XLiu YZhao YLu SStylios GLiu Q(2022)Adaptive Motion Artifact Reduction in Wearable ECG Measurements Using Impedance Pneumography SignalSensors10.3390/s2215549322:15(5493)Online publication date: 23-Jul-2022
https://doi.org/10.3390/s22155493
Wang QMao YRen LLi ZLiu H(2020)Automatic Classification of ECG Data Quality for Each ChannelIEEE Access10.1109/ACCESS.2020.30344498(196094-196101)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3034449
Kalra ALowe A(2020)Development and validation of Motion Artefact Rejection System (MARS) for electrocardiography using novel skin-stretch estimation approachSensors and Actuators A: Physical10.1016/j.sna.2019.111726301(111726)Online publication date: Jan-2020
https://doi.org/10.1016/j.sna.2019.111726
Dargie WLilienthal J(2019)Application of SVD for Removing Motion Artifacts from the Measurements of a Wireless Electrocardiogram2019 22th International Conference on Information Fusion (FUSION)10.23919/FUSION43075.2019.9011419(1-8)Online publication date: Jul-2019
https://doi.org/10.23919/FUSION43075.2019.9011419
Dargie W(2018)Motion Artefacts Modelling in the Application of a Wireless Electrocardiogram2018 21st International Conference on Information Fusion (FUSION)10.23919/ICIF.2018.8455335(239-244)Online publication date: Jul-2018
https://doi.org/10.23919/ICIF.2018.8455335
Smaoui GAbid M(2017)Scale selection technique for heartbeat detection algorithm2017 14th International Multi-Conference on Systems, Signals & Devices (SSD)10.1109/SSD.2017.8166996(606-610)Online publication date: Mar-2017
https://doi.org/10.1109/SSD.2017.8166996
Smaoui GAbid M(2017)Development and benchmarking of algorithm for heartbeat detection2017 International Conference on Smart, Monitored and Controlled Cities (SM2C)10.1109/SM2C.2017.8071824(87-90)Online publication date: Feb-2017
https://doi.org/10.1109/SM2C.2017.8071824
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten