Heart beats classification using artificial neural network

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU103505" target="_blank" >RIV/00216305:26220/13:PU103505 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

čeština

Original language name

Heart beats classification using artificial neural network

Original language description

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. Themain 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.

Czech name

Heart beats classification using artificial neural network

Czech description

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. Themain 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.

Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 19th Conference Student EEICT 2013

ISBN

978-80-214-4695-3

ISSN

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e-ISSN

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Number of pages

3

Pages from-to

166-168

Publisher name

Neuveden

Place of publication

Neuveden

Event location

Brno

Event date

Apr 25, 2013

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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