Performance study of adaptive filtering algorithms for noise cancellation of ECG signal

Syed Zahurul Islam, Syed Zahidul Islam, Razali Jidin, Mohd Alauddin Mohd Ali

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Citations (Scopus)

    Abstract

    Removal of noises from ECG (Electrocardiogram) signal is a classical problem. Moreover, nullifying AC and DC noises using the two adaptive algorithms-the LMS and the RLS from the ECG is a new study in biomedical science. In this paper, the four types of AC and DC noises have been implemented according to their basic properties. After that, these noises have been mixed with ECG signal and nullify these noises using the LMS and the RLS algorithms. At the end of this paper, a performance study has been done between these algorithms based on their parameters and also discussed the effect of filter length and the corresponding correlation coefficient. Results indicate that the DC bias noises cannot be handled by the LMS filtering whereas the RLS can handle both types of noises. Also, it is true for both algorithms that the filter length is proportional to MSE (Mean Square Error) rate and it takes more time to converge for both algorithms. Furthermore, most of the cases the RLS has achieved best effective noise cancellation performance although its convergence time is slightly high. But eventually its error has always dipped down below that of the LMS algorithm.

    Original languageEnglish
    Title of host publicationICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing
    DOIs
    Publication statusPublished - 2009
    Event7th International Conference on Information, Communications and Signal Processing, ICICS 2009 - Macau Fisherman's Wharf
    Duration: 8 Dec 200910 Dec 2009

    Other

    Other7th International Conference on Information, Communications and Signal Processing, ICICS 2009
    CityMacau Fisherman's Wharf
    Period8/12/0910/12/09

    Fingerprint

    Adaptive filtering
    Electrocardiography
    Adaptive algorithms
    Mean square error

    Keywords

    • AC and DC Noises
    • ECG signal
    • LMS and RLS algorithms

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems
    • Signal Processing

    Cite this

    Islam, S. Z., Islam, S. Z., Jidin, R., & Ali, M. A. M. (2009). Performance study of adaptive filtering algorithms for noise cancellation of ECG signal. In ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing [5397744] https://doi.org/10.1109/ICICS.2009.5397744

    Performance study of adaptive filtering algorithms for noise cancellation of ECG signal. / Islam, Syed Zahurul; Islam, Syed Zahidul; Jidin, Razali; Ali, Mohd Alauddin Mohd.

    ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing. 2009. 5397744.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Islam, SZ, Islam, SZ, Jidin, R & Ali, MAM 2009, Performance study of adaptive filtering algorithms for noise cancellation of ECG signal. in ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing., 5397744, 7th International Conference on Information, Communications and Signal Processing, ICICS 2009, Macau Fisherman's Wharf, 8/12/09. https://doi.org/10.1109/ICICS.2009.5397744
    Islam SZ, Islam SZ, Jidin R, Ali MAM. Performance study of adaptive filtering algorithms for noise cancellation of ECG signal. In ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing. 2009. 5397744 https://doi.org/10.1109/ICICS.2009.5397744
    Islam, Syed Zahurul ; Islam, Syed Zahidul ; Jidin, Razali ; Ali, Mohd Alauddin Mohd. / Performance study of adaptive filtering algorithms for noise cancellation of ECG signal. ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing. 2009.
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