A New Resource for Independent and Blinded Assessment of QRS Detection Algorithms

D. Tsunami, J. McNames, M. Aboy, M. S. Ellenby

Research output: Contribution to journalConference article

Abstract

We describe a new resource for developers of QRS detection algorithms that provides a standardized assessment of algorithm performance that is blinded, objective, independent, and reproducible. This overcomes the problems of using a single data set for both development and assessment that leads to favorably biased estimates of performance.

Original languageEnglish (US)
Pages (from-to)2889-2892
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume3
StatePublished - Dec 1 2003
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

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Keywords

  • Electrocardiograms (ECG)
  • Performance assessment
  • QRS detection
  • Standards

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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