About: Evaluation of ECG: Comparison of Decision Tree and Fuzzy Rules Induction

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Není k dispozici (cs) This paper compares two different approaches to computer-aided analysis of ECG signals. ECG records are preprocessed by the wavelet transform, and the machine learning method of decision trees and fuzzy rules induction are used for classification. The wavelet transform allows good localisation of QRS complexes, P and T waves in time and amplitude. The average accuracy of detection of all events is above 87 per cent. For learning and further classification we use Quinlan's See5 application and FURL (FUzzy Rule Learner). We used the MIT-BIH database for experiments. Diverse settings of the parameters for decision tree generation (tree pruning, attribute selection, class sets) were examined. Two datasets and diverse settings of fuzzysets were examined as well. This paper compares two different approaches to computer-aided analysis of ECG signals. ECG records are preprocessed by the wavelet transform, and the machine learning method of decision trees and fuzzy rules induction are used for classification. The wavelet transform allows good localisation of QRS complexes, P and T waves in time and amplitude. The average accuracy of detection of all events is above 87 per cent. For learning and further classification we use Quinlan's See5 application and FURL (FUzzy Rule Learner). We used the MIT-BIH database for experiments. Diverse settings of the parameters for decision tree generation (tree pruning, attribute selection, class sets) were examined. Two datasets and diverse settings of fuzzysets were examined as well. (en)
Title	Není k dispozici (cs) Evaluation of ECG: Comparison of Decision Tree and Fuzzy Rules Induction Evaluation of ECG: Comparison of Decision Tree and Fuzzy Rules Induction (en)
skos:prefLabel	Není k dispozici (cs) Evaluation of ECG: Comparison of Decision Tree and Fuzzy Rules Induction Evaluation of ECG: Comparison of Decision Tree and Fuzzy Rules Induction (en)
skos:notation	RIV/68407700:21230/04:03096799!RIV/2005/MSM/212305/N
http://linked.open.../vavai/riv/strany	713 ; 718
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM 210000012)
http://linked.open...vai/riv/dodaniDat	2005
http://linked.open...aciTvurceVysledku	Macek, Jan Lhotská, Lenka
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	563350
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/04:03096799
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	ECG classification; decision trees; fuzzy rules learning (en)
http://linked.open.../riv/klicoveSlovo	decision trees fuzzy rules learning ECG classification
http://linked.open...ontrolniKodProRIV	[C5BC2333B1F7]
http://linked.open...v/mistoKonaniAkce	Vienna
http://linked.open...i/riv/mistoVydani	Vienna
http://linked.open...i/riv/nazevZdroje	Cybernetics and Systems 2004
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2004
http://linked.open...iv/tvurceVysledku	Lhotská, Lenka Macek, Jan Peri, D.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2004-04-13 (xsd:date)
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20210000012
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Austrian Society for Cybernetics Studies
https://schema.org/isbn	3-85206-169-5
http://localhost/t...ganizacniJednotka	21230

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