Performance of three QRS detection algorithms during sleep: A comparative study

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

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

A comparison of the performance of three QRS detectors used in the analysis of electrocardiogram (ECG) during sleep is presented in this paper. Two widely used QRS detection algorithms based on digital filtering (DF) are compared with a newly introduced one, based on Higher-Order Statistics (HOS). The percentage of QRS complexes failed detection along with the number of false positives and false negatives are measured for quantitative performance evaluation. Experimental results, when applying the proposed methods to nocturnal ECG recordings from the Sleep Laboratory of the Philipps University of Marburg, Germany, prove that the HOS-based QRS detector exhibits higher overall QRS detection accuracy (99.95%) than the two DF-based ones (99.75% and 99.59%, respectively). Moreover, it has lower noise susceptibility despite the presence of different noise types, such as smooth or abrupt baseline drift, 50Hz powerline interference, electromyographic intervention or any arrhythmia effect due to sleep apnea.

Original languageBritish English
Article number254
Pages (from-to)1954-1957
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
DOIs
StatePublished - 2001

Keywords

  • Adaptive robust detector
  • Comparative study
  • Digital filtering
  • ECG
  • Higher-order statistics
  • QRS complex
  • Sleep apnea

Fingerprint

Dive into the research topics of 'Performance of three QRS detection algorithms during sleep: A comparative study'. Together they form a unique fingerprint.

Cite this