Detection of Myocardial Infarction Using ICA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00168847" target="_blank" >RIV/68407700:21230/10:00168847 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detection of Myocardial Infarction Using ICA
Original language description
Myocardial infarction is one of the most prevalent heart diseases in the Czech Republic. It is mostly due to narrowed coronary arteries causing insufficient oxygen supply of myocardium. State-of-the-art methods developed to diagnose myocardial infarctionachieve good results on experimental/testing databases but in the real-world applications they perform worse. Our research aim is to use Independent Component Analysis (ICA) to find differences between waveform of components in infarction and non-infarction data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Analysis of Biomedical Signals and Images, BIOSIGNAL 2010, Proceedings
ISBN
978-80-214-4106-4
ISSN
1211-412X
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 27, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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