Reconstruction of ECG precordial leads by PCA and neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088371" target="_blank" >RIV/61989100:27240/13:86088371 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86088371
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-29305-4_110" target="_blank" >http://dx.doi.org/10.1007/978-3-642-29305-4_110</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-29305-4_110" target="_blank" >10.1007/978-3-642-29305-4_110</a>
Alternative languages
Result language
angličtina
Original language name
Reconstruction of ECG precordial leads by PCA and neural networks
Original language description
The paper describes possibilities of simplifying the measurement set-up for ECG recordings, by reducing the number of leads. The study proposes a technique to reduce the number of measurements or to reconstruct ECG leads by neural networks. The results are encouraging and show how it is possible to reconstruct ECG leads. The goal of this work is in the possibilities of reconstruction ECG precordial leads and the algorithm of reconstruction.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
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
IFMBE Proceedings, Volume 39
ISBN
978-3-642-29304-7
ISSN
1680-0737
e-ISSN
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Number of pages
4
Pages from-to
414-417
Publisher name
Springer
Place of publication
London
Event location
Peking
Event date
May 26, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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