Enhancement of R-wave detection in ECG data analysis using higher-order statistics

Kostas I. Panoulas, Leontios J. Hadjileontiadis, Stavros M. Panas

Research output: Contribution to journalConference articlepeer-review

17 Scopus citations

Abstract

A new way of detecting R-wave in QRS complex of electrocardiogram (ECG) based on higher-order statistics (HOS) is presented in this paper. The proposed method employs HOS-based parameters, such as skewness and kurtosis, in order to formulate an adaptive detector of R peak with high accuracy. Experimental results, when applying the proposed method to pre-classified ECG data from the Massachusetts Institute of Technology/Beth Israel Hospital (MIT/BIH) ECG database, prove that the proposed method exhibits over 99% of detectability, even when the ECG data are contaminated with noise. Due to its simplicity it could be feasible in a real-time context and it could be applied in routine ambulatory and/or clinical heart rate screening.

Original languageBritish English
Pages (from-to)344-347
Number of pages4
JournalAnnual Reports of the Research Reactor Institute, Kyoto University
Volume1
StatePublished - 2001
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: 25 Oct 200128 Oct 2001

Keywords

  • Adaptive robust detector
  • Heart rate screening
  • Kurtosis
  • Massachusetts Institute of Technology/Beth Israel Hospital (MIT/BIH) ECG database
  • QRS complex
  • Skewness

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