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  • Není k dispozici (cs)
  • Holter signals are ambulatory long-term electrocardiographic (ECG) registers used to detect heart diseases which are di.cult to .nd in normal ECG. These signals normally include several channels and its duration is up to 48 hours. The principal problem for the cardiologists consists of the manual inspection of the whole Holter ECG to .nd all those beats whose morphology di.er from the normal cardiac rhythm. The later analysis of these abnormal beats yields a diagnostic from the pacient's heart condition. In this paper we compare the performance among several clustering methods applied over the beats processed by Principal Component Analysis (PCA). Moreover, an outlier removing stage is added, and a cluster estimation method is included. Quality measurements, based on ECG labels from MIT-BIH database, are developed too. At the end, some results-accuracy values among several clustering algorithms is presented.
  • Holter signals are ambulatory long-term electrocardiographic (ECG) registers used to detect heart diseases which are di.cult to .nd in normal ECG. These signals normally include several channels and its duration is up to 48 hours. The principal problem for the cardiologists consists of the manual inspection of the whole Holter ECG to .nd all those beats whose morphology di.er from the normal cardiac rhythm. The later analysis of these abnormal beats yields a diagnostic from the pacient's heart condition. In this paper we compare the performance among several clustering methods applied over the beats processed by Principal Component Analysis (PCA). Moreover, an outlier removing stage is added, and a cluster estimation method is included. Quality measurements, based on ECG labels from MIT-BIH database, are developed too. At the end, some results-accuracy values among several clustering algorithms is presented. (en)
Title
  • Clustering Improvement for Electrocardiographic Signals
  • Není k dispozici (cs)
  • Clustering Improvement for Electrocardiographic Signals (en)
skos:prefLabel
  • Clustering Improvement for Electrocardiographic Signals
  • Není k dispozici (cs)
  • Clustering Improvement for Electrocardiographic Signals (en)
skos:notation
  • RIV/68407700:21230/05:03116535!RIV06-MSM-21230___
http://linked.open.../vavai/riv/strany
  • 892 ; 899
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
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
  • 515539
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/05:03116535
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • ECG; Electrocardiographic Signals; Principal Component Analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [30232C2EC944]
http://linked.open...v/mistoKonaniAkce
  • Cagliari
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Image Analysis and Processing - ICIAP 2005
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Novák, Daniel
  • Frau, D. C.
  • Micó, P.
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
  • Springer-Verlag
https://schema.org/isbn
  • 3-540-28869-4
http://localhost/t...ganizacniJednotka
  • 21230
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