Decision Tree for Clustering Holter ECG Beats

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F06%3A03119933" target="_blank" >RIV/68407700:21230/06:03119933 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Decision Tree for Clustering Holter ECG Beats

Original language description

Holter ECG monitoring is used for long-term monitoring of patients with heart diseases diagnosis. Heart beats with unusual timing or morphology are of great importance in the diagnosis. In this paper clustering of heart beats by decision tree based on beat descriptive features is presented. Algorithm was tested on MIT-BIH database yielding 88.4% of beats correctly classified.

Czech name

Není k dispozici

Czech description

Není k dispozici

Type

A - Audiovisual production

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2006

Confidentiality

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

ISBN

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Place of publication

Vienna

Publisher/client name

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Version

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Carrier ID

neuvedeno