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Detail publikace
SMÍŠEK, R. RONZHINA, M.
Originální název
Heart beats classification using artificial neural network
Anglický název
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
čeština
Originální abstrakt
Use of artificial neural network (ANN) for automatic clasification of the heart beats is highly topical. Both appropriate preparation of ECG data as well as selection of the ANN model allow performing effective and correct classification. The type of segments selected from ECG influences not only the type and maximum number of recognized classification groups but also the complexity of classification model. The latter affects PC memory requirements as well as the time needed for the classification. The main goals of this work are to design ANN model for heart beats classification and to study the influence of various factors (such as character of ECG data, ANN topology, etc.) on the results of classification.
Anglický abstrakt
Klíčová slova
Electrocardiogram, heart beat classification, artificial neural network, isolated heart
Klíčová slova v angličtině
Autoři
SMÍŠEK, R.; RONZHINA, M.
Rok RIV
2013
Vydáno
25. 4. 2013
ISBN
978-80-214-4695-3
Kniha
Proceedings of the 19th Conference Student EEICT 2013
Strany od
166
Strany do
168
Strany počet
3
BibTex
@inproceedings{BUT99448, author="Radovan {Smíšek} and Marina {Filipenská}", title="Heart beats classification using artificial neural network", booktitle="Proceedings of the 19th Conference Student EEICT 2013", year="2013", pages="166--168", isbn="978-80-214-4695-3" }