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Description
  • Beat detection is a basic and fundamental step in electrocardiogram (ECG) processing. In many ECG applications time is crucial and slow beat detection algorithm may cause serious problems. Beat detection algorithm desired property is to detect sufficiently large number of QRS complexes with small error in shortest time as possible. Our proposed method tries to combine weak and fast QRS detectors such as amplitude threshold based detector in order to obtain better detection result with very low computational increase. We developed a modified version of the well-known AdaBoost algorithm for combining weak QRS detectors. Our algorithm has been compared with the performance of our implementation of the Pan-Tompkins’s beat detection algorithm.
  • Beat detection is a basic and fundamental step in electrocardiogram (ECG) processing. In many ECG applications time is crucial and slow beat detection algorithm may cause serious problems. Beat detection algorithm desired property is to detect sufficiently large number of QRS complexes with small error in shortest time as possible. Our proposed method tries to combine weak and fast QRS detectors such as amplitude threshold based detector in order to obtain better detection result with very low computational increase. We developed a modified version of the well-known AdaBoost algorithm for combining weak QRS detectors. Our algorithm has been compared with the performance of our implementation of the Pan-Tompkins’s beat detection algorithm. (en)
Title
  • Beat Detection Enhancing Using AdaBoost
  • Beat Detection Enhancing Using AdaBoost (en)
skos:prefLabel
  • Beat Detection Enhancing Using AdaBoost
  • Beat Detection Enhancing Using AdaBoost (en)
skos:notation
  • RIV/68407700:21230/13:00202138!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 62998
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00202138
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • QRS Detection; AdaBoost; Combining Classifiers (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D80BB13CF891]
http://linked.open...v/mistoKonaniAkce
  • Barcelona
http://linked.open...i/riv/mistoVydani
  • Porto
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the International Conference on Bio-inspired Systems and Signal Processing
http://linked.open...in/vavai/riv/obor
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http://linked.open...UplatneniVysledku
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  • Kužílek, Jakub
  • Lhotská, Lenka
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • SciTePress - Science and Technology Publications
https://schema.org/isbn
  • 978-989-8565-36-5
http://localhost/t...ganizacniJednotka
  • 21230
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