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Classification of heart beats using artificial neuronal networks

By Radka Doležalová

Abstract

This work deals with using of artificial neural networks (ANN) for ECG classification. The issue of ECG and ANN technique are described theoretically at first, the next section describes use of Matlab to design ANN and graphical user interface. ECG data (namely QRST segments from the orthogonal X- lead from seven phases of the experiment) obtained from experiments in isolated hearts of rabbits are used for learning and testing of the classifier. The result of this work is the software with GUI that allows user to set various parameters and structure of ANN. After learning phase, ANN realized in this work able to classify cardiac cycles according to their morphology into seven groups

Topics: graphic user interface; grafické uživatelské rozhraní; Elektrokardiogram; klasifikace srdečních cyklů; heart beats classification; artificial neural network; učení s učitelem; umělá neuronová síť; supervised learning; Electrocardiogram
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Year: 2013
OAI identifier: oai:invenio.nusl.cz:243459
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