R-wave detection

A comparative analysis of four methods using newborn piglet ECG

Shiying Dong, Fangfei Xu, Barbara Lingwood, Mostefa Mesbah, Boualem Boashash

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

6 Citations (Scopus)

Abstract

In the electrocardiograph (ECG), R-wave is the positive upward deflection in the QRS complex which represents the depolarization of both left and right ventricles. Accurate detection of the R-wave peaks in the ECG plays a primary role in the construction and analysis of the heart rate variability (HRV). Numerous methods have been proposed to enhance the robustness and accuracy of the automatic detection. The majority of these methods have been developed for adult ECG and may not perform adequately in the case of the newborn. In this study, we analysed the performance of four R-wave detection methods that were applied on newborn piglet ECG data. These methods are based on: first derivative, wavelet transform, and nonlinear transform. The results of our performance analysis showed that the nonlinear approach based on the Hilbert transform marginally outperformed the others, with the highest sensitivity (Se) of 99 .95%, the lowest detection error(ER) of 0.12% and a high positive prediction (+P) of 99.93%.

Original languageEnglish
Title of host publication10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Pages320-323
Number of pages4
DOIs
Publication statusPublished - 2010
Event10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 - Kuala Lumpur, Malaysia
Duration: May 10 2010May 13 2010

Other

Other10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
CountryMalaysia
CityKuala Lumpur
Period5/10/105/13/10

Fingerprint

Error detection
Depolarization
Wavelet transforms
Derivatives

Keywords

  • Electrocardiograph
  • Heart rate variability
  • Newborn
  • QRS complex
  • R-wave detection

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Signal Processing

Cite this

Dong, S., Xu, F., Lingwood, B., Mesbah, M., & Boashash, B. (2010). R-wave detection: A comparative analysis of four methods using newborn piglet ECG. In 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 (pp. 320-323). [5605472] https://doi.org/10.1109/ISSPA.2010.5605472

R-wave detection : A comparative analysis of four methods using newborn piglet ECG. / Dong, Shiying; Xu, Fangfei; Lingwood, Barbara; Mesbah, Mostefa; Boashash, Boualem.

10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. p. 320-323 5605472.

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

Dong, S, Xu, F, Lingwood, B, Mesbah, M & Boashash, B 2010, R-wave detection: A comparative analysis of four methods using newborn piglet ECG. in 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010., 5605472, pp. 320-323, 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010, Kuala Lumpur, Malaysia, 5/10/10. https://doi.org/10.1109/ISSPA.2010.5605472
Dong S, Xu F, Lingwood B, Mesbah M, Boashash B. R-wave detection: A comparative analysis of four methods using newborn piglet ECG. In 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. p. 320-323. 5605472 https://doi.org/10.1109/ISSPA.2010.5605472
Dong, Shiying ; Xu, Fangfei ; Lingwood, Barbara ; Mesbah, Mostefa ; Boashash, Boualem. / R-wave detection : A comparative analysis of four methods using newborn piglet ECG. 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. pp. 320-323
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