About: High-Speed Feature Extraction in Holter Electrocardiogram Using Principal Component Analysis

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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) Due to their long duration (up to 48 hours) and because of the enormous quantity of beats involved, it results really difficult to perform a manual inspection of HOLTER electrocardiographic signals (ECG). In the other side, we have patients with chronic heart-troubles whose heart rithm needs to be checked everytime using portable ECG recording machines. Within this scenario it would be very interesting the possibility of real-time ANALYZING and clustering ECG records in order to detect arrhythmia beats as soon as possible, allowing the patient to realize and prevent from a critical heart attack. To achieve this goal we have designed and implemented a C++ application that is based on the Principal Component Analysis (PCA) method applied to the beats (from a portable ECG recording machine) to decompose and cluster them in real-time. At the first stage of this article we will define holter ECG records and discuss about their desirable features for processing them ensuring better results y Due to their long duration (up to 48 hours) and because of the enormous quantity of beats involved, it results really difficult to perform a manual inspection of HOLTER electrocardiographic signals (ECG). In the other side, we have patients with chronic heart-troubles whose heart rithm needs to be checked everytime using portable ECG recording machines. Within this scenario it would be very interesting the possibility of real-time ANALYZING and clustering ECG records in order to detect arrhythmia beats as soon as possible, allowing the patient to realize and prevent from a critical heart attack. To achieve this goal we have designed and implemented a C++ application that is based on the Principal Component Analysis (PCA) method applied to the beats (from a portable ECG recording machine) to decompose and cluster them in real-time. At the first stage of this article we will define holter ECG records and discuss about their desirable features for processing them ensuring better results y (en)
Title	Není k dispozici (cs) High-Speed Feature Extraction in Holter Electrocardiogram Using Principal Component Analysis High-Speed Feature Extraction in Holter Electrocardiogram Using Principal Component Analysis (en)
skos:prefLabel	Není k dispozici (cs) High-Speed Feature Extraction in Holter Electrocardiogram Using Principal Component Analysis High-Speed Feature Extraction in Holter Electrocardiogram Using Principal Component Analysis (en)
skos:notation	RIV/68407700:21230/04:03099085!RIV/2005/MSM/212305/N
http://linked.open.../vavai/riv/strany	81 ; 83
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	Novák, Daniel
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	566184
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/04:03099085
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	ECG; Feature Extraction; PCA (en)
http://linked.open.../riv/klicoveSlovo	Feature Extraction PCA ECG
http://linked.open...ontrolniKodProRIV	[3F4A74E0DD71]
http://linked.open...v/mistoKonaniAkce	Brno
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Analysis of Biomedical Signals and Images
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2004
http://linked.open...iv/tvurceVysledku	Novák, Daniel Cuesta-Frau, D. Micó, P.
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2004-06-23 (xsd:date)
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20210000012
number of pages	3 (xsd:int)
http://purl.org/ne...btex#hasPublisher	VUTIUM Press
https://schema.org/isbn	80-214-2633-0
http://localhost/t...ganizacniJednotka	21230

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