Enhancement of R-Wave Detection in ECG Data Analysis Using Higher-Order Statistics

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) FCC 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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410250

Entities

People

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

Organizations

  • Aristotle University of Thessaloniki

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Data Analysis
  • Data Science
  • Databases
  • Detection
  • Detectors
  • Electrocardiography
  • Engineering
  • Health Services
  • Heart Rate
  • Information Science
  • Military Research
  • Monitoring
  • Order Statistics
  • Statistics

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Sensor Fusion and Tracking Systems.
  • Statistical inference.