Heart beat classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU103506" target="_blank" >RIV/00216305:26220/13:PU103506 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
slovinština
Original language name
Heart beat classification
Original language description
The aim of this work was to develop the method for classification of ECG beats into two classes, namely ischemic and non-ischemic beats. Heart beats (QRS-T cycles) from animal orthogonal ECGs were preprocessed and used as input signal. Spectral featuresvectors (values of cross spectral coherency) were derived from the beats and the beats were classified using feedforward multilayer neural network designed in Matlab. Classification performance reached the value approx. 99%. Presented results can be suitable in future studies aimed to automatic classification of ECG.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 19th Conference STUDENT EEICT 2013 Volume 2
ISBN
978-80-214-4694-6
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
182-184
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Brno
Event date
Apr 25, 2013
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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