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Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03116535" target="_blank" >RIV/68407700:21230/05:03116535 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Clustering Improvement for Electrocardiographic Signals

Popis výsledku v původním jazyce

Holter signals are ambulatory long-term electrocardiographic (ECG) registers used to detect heart diseases which are di.cult to .nd in normal ECG. These signals normally include several channels and its duration is up to 48 hours. The principal problem for the cardiologists consists of the manual inspection of the whole Holter ECG to .nd all those beats whose morphology di.er from the normal cardiac rhythm. The later analysis of these abnormal beats yields a diagnostic from the pacient's heart condition. In this paper we compare the performance among several clustering methods applied over the beats processed by Principal Component Analysis (PCA). Moreover, an outlier removing stage is added, and a cluster estimation method is included. Quality measurements, based on ECG labels from MIT-BIH database, are developed too. At the end, some results-accuracy values among several clustering algorithms is presented.

Název v anglickém jazyce

Clustering Improvement for Electrocardiographic Signals

Popis výsledku anglicky

Holter signals are ambulatory long-term electrocardiographic (ECG) registers used to detect heart diseases which are di.cult to .nd in normal ECG. These signals normally include several channels and its duration is up to 48 hours. The principal problem for the cardiologists consists of the manual inspection of the whole Holter ECG to .nd all those beats whose morphology di.er from the normal cardiac rhythm. The later analysis of these abnormal beats yields a diagnostic from the pacient's heart condition. In this paper we compare the performance among several clustering methods applied over the beats processed by Principal Component Analysis (PCA). Moreover, an outlier removing stage is added, and a cluster estimation method is included. Quality measurements, based on ECG labels from MIT-BIH database, are developed too. At the end, some results-accuracy values among several clustering algorithms is presented.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2005

Kód důvěrnosti údajů

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

Název statě ve sborníku

Image Analysis and Processing - ICIAP 2005

ISBN

3-540-28869-4

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

892-899

Název nakladatele

Springer-Verlag

Místo vydání

Berlin

Místo konání akce

Cagliari

Datum konání akce

6. 9. 2005

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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