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IRICT 2017: Recent Trends in Information and Communication Technology pp 116–123Cite as

Motion Artifact Reduction Algorithm Using Sequential Adaptive Noise Filters and Estimation Methods for Mobile ECG

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 5))

Abstract

Electrocardiogram (ECG) is beneficial to diagnose various heart diseases. Recently, mobile ECG has received the attention of researchers and practitioners for real time monitoring and automatic diagnosis. However, the performance of ECG’s monitoring system is degraded because of many disturbances created by subject movement, which leads to wrong diagnosis. Several attempts have been performed to remove the noise from clinical ECG signal using various digital signal processing techniques. Those techniques are not directly appropriate to be used for the mobile ECG environment and expected noises. Ultimately, motion artifact still is an open issue in mobile ECG. In this paper, an algorithm is proposed to reduce motion artifact using three sequential adaptive noise filters based on least mean square errors and reference noise estimation methods. The proposed algorithm is evaluated using real dataset that was collected while the subject performing different activities. Results show promising enhancement in the ECG signal quality.

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Acknowledgment

This work is supported by the Ministry of Higher Education (MOHE) and Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under Fundamental Research Grant (FRGS) (VOT R.J130000.7828.4F679).

Author information

Authors and Affiliations

  1. Information Assurance and Security Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310, Johor, Malaysia

    Fuad A. Ghaleb, Mazleena Salleh & Mohd. Foad Rohani

  2. Pervasive Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310, Johor, Malaysia

    Maznah Kamat

  3. Faculty of Mechanical, UTM, Johor Bahru, Malaysia

    Saif Eddine Hadji

Authors
  1. Fuad A. Ghaleb
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  2. Maznah Kamat
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  3. Mazleena Salleh
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  4. Mohd. Foad Rohani
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  5. Saif Eddine Hadji
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Corresponding author

Correspondence to Maznah Kamat .

Editor information

Editors and Affiliations

  1. Faculty of Computing Information Systems Department, Universiti Teknologi Malaysia, Johar, Skudai, Malaysia

    Faisal Saeed

  2. Faculty of Computing Information Systems Department, Universiti Teknologi Malaysia, Johar, Skudai, Malaysia

    Nadhmi Gazem

  3. Department of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  4. Faculty of Computing, ISSI Research Lab, University of Technology Malaysia, Skudai, Malaysia

    Ali Saleh Saed Balaid

  5. Faculty of Computing, University of Technology Malaysia, Skudai, Malaysia

    Fathey Mohammed

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Ghaleb, F.A., Kamat, M., Salleh, M., Rohani, M.F., Hadji, S.E. (2018). Motion Artifact Reduction Algorithm Using Sequential Adaptive Noise Filters and Estimation Methods for Mobile ECG. In: Saeed, F., Gazem, N., Patnaik, S., Saed Balaid, A., Mohammed, F. (eds) Recent Trends in Information and Communication Technology. IRICT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-59427-9_13

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  • DOI: https://doi.org/10.1007/978-3-319-59427-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59426-2

  • Online ISBN: 978-3-319-59427-9

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