Wavelet-based signal quality assessment: Noise detection by temporal feature and heuristics-based

Indra Hermawan, Nina Sevani, Muhammad Anwar Ma'Sum, Noverina Alfiany, Wisnu Jatmiko

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

1 Citation (Scopus)

Abstract

Signal Quality Assessment (SQA) is an approach to determine whether an electrocardiogram (ECG) signal can be used for clinical assessment or not. Unacceptable ECG signal contains one or more noises. This study proposes a method to determine the ECG signal quality using heuristic rules and temporal features. The experiment is conducted using 1000 data consist of 703 acceptable ECG signal and 297 unacceptable ECG signal. The Sensitivity, specificity, and accuracy are used to assess the performance of the method. The result shows that Daubechies filter is the best wavelet basis function to detect and classify the ECG signal for clinical assessment. Among the variability of the order used, the Daubechies filter with order eight has the best performance with sensitivity 0.85, specificity 0.86, and accuracy 85.6%.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationCYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages103-108
Number of pages6
ISBN (Electronic)9781728108674
DOIs
Publication statusPublished - Aug 2019
Event2019 IEEE International Conference on Cybernetics and Computational Intelligence, CYBERNETICSCOM 2019 - Banda Aceh, Indonesia
Duration: 22 Aug 201924 Aug 2019

Publication series

NameProceedings: CYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World

Conference

Conference2019 IEEE International Conference on Cybernetics and Computational Intelligence, CYBERNETICSCOM 2019
CountryIndonesia
CityBanda Aceh
Period22/08/1924/08/19

Keywords

  • Electrocardiogram
  • Heuristic rule
  • Signal quality
  • Temporal features
  • Wavelet

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    Hermawan, I., Sevani, N., Ma'Sum, M. A., Alfiany, N., & Jatmiko, W. (2019). Wavelet-based signal quality assessment: Noise detection by temporal feature and heuristics-based. In Proceedings: CYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World (pp. 103-108). [8875655] (Proceedings: CYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CYBERNETICSCOM.2019.8875655