Orthogonal matching pursuit based classifier for premature ventricular contraction detection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86096061" target="_blank" >RIV/61989100:27240/14:86096061 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/14:86096061

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-01854-6_21" target="_blank" >http://dx.doi.org/10.1007/978-3-319-01854-6_21</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-01854-6_21" target="_blank" >10.1007/978-3-319-01854-6_21</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Orthogonal matching pursuit based classifier for premature ventricular contraction detection

Popis výsledku v původním jazyce

Premature Ventricular Contractions (PVCs) are a common topic of discussion among cardiologists as this type of heart arrhythmia is very frequent among the general population, often endangering people's health. In this paper, a software system is proposedthat differentiates PVCs from normal, healthy heartbeats collected in the MIT-BIH Arrhythmia Database. During classification, training data were recorded from subjects different than those from which testing data were measured, making the classifiers attempt to recognize patterns they were not trained for. A modification of the Orthogonal Matching Pursuit (OMP) based classifier is described and used for comparison with other, wellestablished classifiers. The absolute accuracy of the described algorithmis 87.58%. More elaboration on the results based on cross-reference is also given. (C) Springer International Publishing Switzerland 2014.

Název v anglickém jazyce

Orthogonal matching pursuit based classifier for premature ventricular contraction detection

Popis výsledku anglicky

Premature Ventricular Contractions (PVCs) are a common topic of discussion among cardiologists as this type of heart arrhythmia is very frequent among the general population, often endangering people's health. In this paper, a software system is proposedthat differentiates PVCs from normal, healthy heartbeats collected in the MIT-BIH Arrhythmia Database. During classification, training data were recorded from subjects different than those from which testing data were measured, making the classifiers attempt to recognize patterns they were not trained for. A modification of the Orthogonal Matching Pursuit (OMP) based classifier is described and used for comparison with other, wellestablished classifiers. The absolute accuracy of the described algorithmis 87.58%. More elaboration on the results based on cross-reference is also given. (C) Springer International Publishing Switzerland 2014.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

<a href="/cs/project/EE.2.3.20.0073" target="_blank" >EE.2.3.20.0073: Bio-inspirované metody: věda, vzdělávání a transfer znalostí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 239

ISBN

978-3-319-01853-9

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

10

Strana od-do

201-210

Název nakladatele

Springer

Místo vydání

New York

Místo konání akce

Salamanca

Datum konání akce

11. 9. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—