About: Heart beats classification using artificial neural network

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Use of artificial neural network (ANN) for automatic clasification of the heart beats is highly topical. Both appropriate preparation of ECG data as well as selection of the ANN model allow performing effective and correct classification. The type of segments selected from ECG influences not only the type and maximum number of recognized classification groups but also the complexity of classification model. The latter affects PC memory requirements as well as the time needed for the classification. The main goals of this work are to design ANN model for heart beats classification and to study the influence of various factors (such as character of ECG data, ANN topology, etc.) on the results of classification. Use of artificial neural network (ANN) for automatic clasification of the heart beats is highly topical. Both appropriate preparation of ECG data as well as selection of the ANN model allow performing effective and correct classification. The type of segments selected from ECG influences not only the type and maximum number of recognized classification groups but also the complexity of classification model. The latter affects PC memory requirements as well as the time needed for the classification. The main goals of this work are to design ANN model for heart beats classification and to study the influence of various factors (such as character of ECG data, ANN topology, etc.) on the results of classification. (en) Use of artificial neural network (ANN) for automatic clasification of the heart beats is highly topical. Both appropriate preparation of ECG data as well as selection of the ANN model allow performing effective and correct classification. The type of segments selected from ECG influences not only the type and maximum number of recognized classification groups but also the complexity of classification model. The latter affects PC memory requirements as well as the time needed for the classification. The main goals of this work are to design ANN model for heart beats classification and to study the influence of various factors (such as character of ECG data, ANN topology, etc.) on the results of classification. (cs)
Title	Heart beats classification using artificial neural network Heart beats classification using artificial neural network (en) Heart beats classification using artificial neural network (cs)
skos:prefLabel	Heart beats classification using artificial neural network Heart beats classification using artificial neural network (en) Heart beats classification using artificial neural network (cs)
skos:notation	RIV/00216305:26220/13:PU103505!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Smíšek, Radovan Ronzhina, Marina
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	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	77134
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU103505
http://linked.open...riv/jazykVysledku	cze - čeština
http://linked.open.../riv/klicovaSlova	Electrocardiogram, heart beat classification, artificial neural network, isolated heart (en)
http://linked.open.../riv/klicoveSlovo	Electrocardiogram artificial neural network heart beat classification isolated heart
http://linked.open...ontrolniKodProRIV	[E18E19D4D8CC]
http://linked.open...v/mistoKonaniAkce	Brno
http://linked.open...i/riv/mistoVydani	Neuveden
http://linked.open...i/riv/nazevZdroje	Proceedings of the 19th Conference Student EEICT 2013
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Ronzhina, Marina Smíšek, Radovan
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2013-04-25 (xsd:date)
number of pages	3 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-80-214-4695-3
http://localhost/t...ganizacniJednotka	26220

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