Publication detail

Heart beats classification using artificial neural network

SMÍŠEK, R. RONZHINA, M.

Original Title

Heart beats classification using artificial neural network

English Title

Heart beats classification using artificial neural network

Type

conference paper

Language

Czech

Original Abstract

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.

English abstract

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.

Keywords

Electrocardiogram, heart beat classification, artificial neural network, isolated heart

Key words in English

Electrocardiogram, heart beat classification, artificial neural network, isolated heart

Authors

SMÍŠEK, R.; RONZHINA, M.

RIV year

2013

Released

25. 4. 2013

ISBN

978-80-214-4695-3

Book

Proceedings of the 19th Conference Student EEICT 2013

Pages from

166

Pages to

168

Pages count

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"
}