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AuthorShiying, D.
AuthorFangfei, X.
AuthorLingwood, B.
AuthorMesbah, M.
AuthorBoashash, B.
Available date2014-04-05T10:05:59Z
Publication Date2010
Publication Name10th International Conference on Proc. of Information Sciences Signal Processing and their Applications (ISSPA) 2010
CitationD. Shiying, X. Fangfei, B. Lingwood, M. Mesbah, and B. Boashash, "R-wave detection: A comparative analysis of four methods using newborn piglet ECG," in Proc. of Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on, 2010, pp. 320-323. (doi: 10.1109/isspa.2010.5605472)
URIhttp://hdl.handle.net/10576/10977
URIhttp://dx.doi.org/10.1109/ISSPA.2010.5605472
AbstractIn 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) of99 .95%, the lowest detection error(ER) of 0.12% and a high positive prediction (+P) of 99 .93%.
Languageen
PublisherIEEE
SubjectElectrocardiograph
QRS complex
Rwave detection
Heart rate variability
Newborn
TitleR-wave detection: A comparative analysis of four methods using newborn piglet ECG
TypeConference Paper
dc.accessType Abstract Only


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