Monitoring of Cardiac Arrhythmia Patterns by Adaptive Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F16%3A00308362" target="_blank" >RIV/68407700:21220/16:00308362 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-49109-7_86" target="_blank" >http://dx.doi.org/10.1007/978-3-319-49109-7_86</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-49109-7_86" target="_blank" >10.1007/978-3-319-49109-7_86</a>
Alternative languages
Result language
angličtina
Original language name
Monitoring of Cardiac Arrhythmia Patterns by Adaptive Analysis
Original language description
In this paper, a study and development of a monitoring adaptive system based on dynamic quadratic neural unit are presented. The system is trained with a recurrent learning method, sample-by-sample in real time. This model will help to the prediction of possible cardiac arrhythmias in patients between 23 to 89 years old, age range of the electrocardiogram signals obtained from the Massachusetts Institute of Technology-Beth Israel Hospital arrhythmia database. By means of the implementation of this adaptive monitoring system the model is capable of processing heart rate signals in real time and to recognize patterns that predict cardiac arrhythmias up to 1 second ahead. The Dynamic Quadratic Neural Unit in real time has demonstrated presenting greater efficiency and precision comparing with multilayer perceptron-type neural networks for pattern classification and prediction; in addition, this architecture has demonstrated in developed research, to be superior to other different type of adaptive architectures.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
3PGCIC 2016: Advances on P2P, Parallel, Grid, Cloud and Internet Computing
ISBN
978-3-319-49109-7
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
885-894
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Soonchunhyang University, Asan
Event date
Nov 5, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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