About: Data Driven Approach to ECG Signal Quality Assessment using Multistep SVM Classification

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Data Driven Approach to ECG Signal Quality Assessment using Multistep SVM Classification Goto Sponge NotDistinct Permalink

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

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.cinc.org/2011/preprints/69.pdf
Description	In response to the PhysioNet/CinC Challenge 2011: Improving the quality of ECGs collected using mobile phones we have developed an algorithm based on a decision support system. It combines couple of simple rules - in order to discard recordings of obviously low quality (i.e. highamplitude noise, detached electrodes) with more sophisticated support vector machine (SVM) classification that deals with more difficult cases where simple rules are inefficient. It turns out that complicatedly computed features provide only small information gain and we used for SVM classifier only time-lagged covariance matrix elements, which provides useful information about signal structure in time.Our results are 0.836. In response to the PhysioNet/CinC Challenge 2011: Improving the quality of ECGs collected using mobile phones we have developed an algorithm based on a decision support system. It combines couple of simple rules - in order to discard recordings of obviously low quality (i.e. highamplitude noise, detached electrodes) with more sophisticated support vector machine (SVM) classification that deals with more difficult cases where simple rules are inefficient. It turns out that complicatedly computed features provide only small information gain and we used for SVM classifier only time-lagged covariance matrix elements, which provides useful information about signal structure in time.Our results are 0.836. (en)
Title	Data Driven Approach to ECG Signal Quality Assessment using Multistep SVM Classification Data Driven Approach to ECG Signal Quality Assessment using Multistep SVM Classification (en)
skos:prefLabel	Data Driven Approach to ECG Signal Quality Assessment using Multistep SVM Classification Data Driven Approach to ECG Signal Quality Assessment using Multistep SVM Classification (en)
skos:notation	RIV/68407700:21230/11:00182536!RIV12-MSM-21230___
http://linked.open...avai/predkladatel	Fakulta elektrotechnická
http://linked.open...avai/riv/aktivita	P S Z
http://linked.open...avai/riv/aktivity	P(1ET201210527), S, Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Huptych, Michal Spilka, Jiří Chudáček, Václav Lhotská, Lenka Kužílek, Jakub
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	192905
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/11:00182536
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	PhysioNet/CinC Challenge 2011; quality assesment; noise; ECG; SVM (en)
http://linked.open.../riv/klicoveSlovo	SVM ECG PhysioNet/CinC Challenge 2011 quality assesment noise
http://linked.open...ontrolniKodProRIV	[F52FFA2FE871]
http://linked.open...v/mistoKonaniAkce	Hangzhou
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	Computing in Cardiology
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Knowledge-based support of diagnostics and prediction in cardiology
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Chudáček, Václav Huptych, Michal Kužílek, Jakub Lhotská, Lenka Spilka, Jiří
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-09-18 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
issn	0276-6574
number of pages	1 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4577-0612-7
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Data Driven Approach to ECG Signal Quality Assessment using Multistep SVM Classification Data Driven Approach to ECG Signal Quality Assessment using Multistep SVM Classification

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software