Arrhythmia disease classification using a higher-order neural unit
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00233063" target="_blank" >RIV/68407700:21220/15:00233063 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/FGCT.2015.7300253" target="_blank" >http://dx.doi.org/10.1109/FGCT.2015.7300253</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FGCT.2015.7300253" target="_blank" >10.1109/FGCT.2015.7300253</a>
Alternative languages
Result language
angličtina
Original language name
Arrhythmia disease classification using a higher-order neural unit
Original language description
This paper presents a quadratic neural unit with error backpropagation learning algorithm to classify electrocardiogram arrhythmia disease. The electrocardiogram arrhythmia classification scheme consists of data acquisition, feature extraction, feature reduction, and a quadratic neural unit classifier to discriminate three different types of arrhythmia. A total of 44 records were obtained from MIT-BIH arrhythmia database to test the efficiency of arrhythmia disease classification method, the obtained results were a specificity of 97.60 % and a sensitivity of 97.05 %. The best accuracy classification rate obtained using the presented approach has been of 98.16 %.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The Fourth International Conference on Future Generation Communication Technologies (FGCT 2015)
ISBN
978-1-4799-8267-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
85-90
Publisher name
IEE
Place of publication
London
Event location
Luton
Event date
Jul 29, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000378416600019