Neural networks and their application in ECG
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F05%3AA1000DGT" target="_blank" >RIV/61988987:17610/05:A1000DGT - 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
Neural networks and their application in ECG
Original language description
We show on an example from medical diagnosis that some problems can be solved using simple neural networks. First we define some basic notions from neural network theory. We mention also some basic facts about electrocardiography. Then we use three-layered neural network with backpropagation algorithm to adaptation on classification the patients? ECG signals into two classes and summarize results.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Electrical Engineering
ISSN
1335-3632
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
56
Country of publishing house
SK - SLOVAKIA
Number of pages
3
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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