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Návrh generativní kompetitivní neuronové sítě pro generování umělých EKG záznamů / Generative Adversial Network for Artificial ECG Generation

The work deals with the generation of ECG signals using generative adversarial networks (GAN). It examines in detail the basics of artificial neural networks and the principles of their operation. It theoretically describes the use and operation and the most common types of failures of generative adversarial networks. In this work, a general procedure of signal preprocessing suitable for GAN training was derived, which was used to compile a database. In this work, a total of 3 different GAN models were designed and implemented. The results of the models were visually displayed and analyzed in detail. Finally, the work comments on the achieved results and suggests further research direction of methods dealing with the generation of ECG signals.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:413114
Date January 2020
CreatorsŠagát, Martin
ContributorsRonzhina, Marina, Hejč, Jakub
PublisherVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Source SetsCzech ETDs
LanguageSlovak
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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