Simple real-time QRS detector with the MaMeMi filter

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36 Citations (Scopus)

Abstract

© 2015 Elsevier B.V. All rights reserved. Detection of QRS complexes in ECG signals is required to determine heart rate, and it is an important step in the study of cardiac disorders. ECG signals are usually affected by noise of low and high frequency. To improve the accuracy of QRS detectors several methods have been proposed to filter out the noise and detect the characteristic pattern of QRS complex. Most of the existing methods are at a disadvantage from relatively high computational complexity or high resource needs making them less optimized for its implementation on portable embedded systems, wearable devices or ultra-low power chips. We present a new method to detect the QRS signal in a simple way with minimal computational cost and resource needs using a novel non-linear filter.
Original languageEnglish
Pages (from-to)137-145
JournalBiomedical Signal Processing and Control
Volume21
DOIs
Publication statusPublished - 27 Jun 2015

Keywords

  • Biomedical signal processing
  • Embedded software
  • Nonlinear filters
  • QRS detection
  • Real-time systems

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