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Description
  • A new LMS-based adaptive filter for preprocessing and analysis of ECG signals recorded under conditions of stress-tests is introduced. The adaptive filter was developed to cancel motion artifacts and myopotentials and to detect diagnostically significant waves in the ECG signal, e.g. arrhythmias. The new filter exploits a repetitivity of the ECG signal for optimal removing of the nonstationary noise. It uses a vector-variable-step-size LMS algorithm to adjust filter weights according to the nonstationarry properties of the processed signal. The developed system was tested on real signals and on the CSE signal library, and the results are described.
  • A new LMS-based adaptive filter for preprocessing and analysis of ECG signals recorded under conditions of stress-tests is introduced. The adaptive filter was developed to cancel motion artifacts and myopotentials and to detect diagnostically significant waves in the ECG signal, e.g. arrhythmias. The new filter exploits a repetitivity of the ECG signal for optimal removing of the nonstationary noise. It uses a vector-variable-step-size LMS algorithm to adjust filter weights according to the nonstationarry properties of the processed signal. The developed system was tested on real signals and on the CSE signal library, and the results are described. (en)
  • A new LMS-based adaptive filter for preprocessing and analysis of ECG signals recorded under conditions of stress-tests is introduced. The adaptive filter was developed to cancel motion artifacts and myopotentials and to detect diagnostically significant waves in the ECG signal, e.g. arrhythmias. The new filter exploits a repetitivity of the ECG signal for optimal removing of the nonstationary noise. It uses a vector-variable-step-size LMS algorithm to adjust filter weights according to the nonstationarry properties of the processed signal. The developed system was tested on real signals and on the CSE signal library, and the results are described. (cs)
Title
  • Adaptive recurrent system for noise cancellation and arrhythmia detection
  • Adaptive recurrent system for noise cancellation and arrhythmia detection (en)
  • Adaptive recurrent system for noise cancellation and arrhythmia detection (cs)
skos:prefLabel
  • Adaptive recurrent system for noise cancellation and arrhythmia detection
  • Adaptive recurrent system for noise cancellation and arrhythmia detection (en)
  • Adaptive recurrent system for noise cancellation and arrhythmia detection (cs)
skos:notation
  • RIV/00216305:26220/94:PU43835!RIV/2005/MSM/262205/N
http://linked.open.../vavai/riv/strany
  • 1270-1271
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 262200011)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 858480
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/94:PU43835
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • adaptive filter, ECG signal, arrhythmias (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AC33B8E1C558]
http://linked.open...v/mistoKonaniAkce
  • Boston
http://linked.open...i/riv/mistoVydani
  • Baltimore
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 16th Annual International Conference of the IEEE EMBS
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Provazník, Ivo
  • Holčík, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
http://localhost/t...ganizacniJednotka
  • 26220
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