Nature Inspired Clustering Concepts in Heart Signal Processing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00160036" target="_blank" >RIV/68407700:21230/09:00160036 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Nature Inspired Clustering Concepts in Heart Signal Processing

Original language description

Arrhythmia diagnosis and electrocardiogram (ECG) interpretation is an important non-invasive step in clinical diagnosis process. The presence of significant heart arrhythmias is an important marker of cardiac death. In this paper we compare and evaluatethe following methods: Ant Colony inspired Clustering, Ant Colony inspired method for Decision Tree generation, Radial Basis Function Neural Networks with different learning algorithms and compare them to classical approaches, such as hierarchical clustering and k-means

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

—

Project

<a href="/en/project/1ET201210527" target="_blank" >1ET201210527: Knowledge-based support of diagnostics and prediction in cardiology</a><br>

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2009

Confidentiality

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

Article name in the collection

CTU Workshop 2009

ISBN

978-80-01-04286-1

ISSN

—

e-ISSN

—

Number of pages

2

Pages from-to

—

Publisher name

ČVUT

Place of publication

Praha

Event location

Praha

Event date

Feb 16, 2009

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

—