About: Generalization of Rule-Based Decision Tree To Fuzzy Intervals for ECG-Beat Clustering     Goto   Sponge   NotDistinct   Permalink

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  • V tomto článku porovnáváme dvě metody pro třídění a diagnózu EKG signálu. První metoda je pravidly řízený rozhodovací strom; v této metodě jsou rozhodovací pravidla založena na klasických intervalech. Druhá metoda je založena na fuzzifikaci těchto intervalů; to odpovídá situacím, kdy znalost získaná z knih nebo od specialistů je vágní nebo neurčitá. Zabýváme se také tím, jak porovnávat výsledky získané fuzzy a klasickou metodou. Volíme senzitivitu a specificitu, což jsou dobře zavedené míry v klinické medicíně. Definujeme zobecnění senzitivity a specificity pro fuzzy clustery abychom s jejich pomocí ukázali korektnost námi navrhovaných metod. (cs)
  • In this paper, we compare two approaches to clustering and diagnosis of the ECG heart beats. In the first approach, the Rule-Based Decision Tree method is presented; in this method the decision rules are based on classical intervals. The second approach is based on fuzzification of the intervals; this accords with the situation when the knowledge described by books and cardiologists is vague or unclear. We discuss the way how the results of the fuzzy and the classical approaches can be compared. We choose the sensitivity and specificity as they are a well established measures in the field of the clinical medicine. We define a generalization of the sensitivity and specificity for fuzzy clusters in order to prove correctness of our presented fuzzy approach.
  • In this paper, we compare two approaches to clustering and diagnosis of the ECG heart beats. In the first approach, the Rule-Based Decision Tree method is presented; in this method the decision rules are based on classical intervals. The second approach is based on fuzzification of the intervals; this accords with the situation when the knowledge described by books and cardiologists is vague or unclear. We discuss the way how the results of the fuzzy and the classical approaches can be compared. We choose the sensitivity and specificity as they are a well established measures in the field of the clinical medicine. We define a generalization of the sensitivity and specificity for fuzzy clusters in order to prove correctness of our presented fuzzy approach. (en)
Title
  • Generalization of Rule-Based Decision Tree To Fuzzy Intervals for ECG-Beat Clustering
  • Generalization of Rule-Based Decision Tree To Fuzzy Intervals for ECG-Beat Clustering (en)
  • Zobecnění pravidly řízeného rozhodovacího stromu do fuzzy intervalů pro účely třídění EKG signálu (cs)
skos:prefLabel
  • Generalization of Rule-Based Decision Tree To Fuzzy Intervals for ECG-Beat Clustering
  • Generalization of Rule-Based Decision Tree To Fuzzy Intervals for ECG-Beat Clustering (en)
  • Zobecnění pravidly řízeného rozhodovacího stromu do fuzzy intervalů pro účely třídění EKG signálu (cs)
skos:notation
  • RIV/68407700:21230/07:03131929!RIV08-AV0-21230___
http://linked.open.../vavai/riv/strany
  • 205;210
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET201210527)
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
  • 423049
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03131929
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • ECG-Beat Clustering; Rule-Based Decision Tree (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1517AEFF983D]
http://linked.open...v/mistoKonaniAkce
  • Thessaloniki
http://linked.open...i/riv/mistoVydani
  • Los Alamitos
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 2007 IEEE Signal Processing Society Workshop
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Chudáček, Václav
  • Lhotská, Lenka
  • Petrík, Milan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 1-4244-1566-7
http://localhost/t...ganizacniJednotka
  • 21230
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