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Segmentace skrytých P vln pomocí metod hlubokého učení / Segmentation of Hidden P Waves Using Deep Learning Methods

The aim of this thesis is segmentation of P waves in ECG signals. The theoretical part of the thesis describes the physiology of the heart and the basics of deep learning methods. Preprocessing of the signals is performed and neural network U-Net is implemented in the Python software environment in the practical part. Afterwards, optimization of network architecture is performed in order to reduce model complexity. Lastly the success rate of the model is evaluated.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:442578
Date January 2021
CreatorsBoudová, Markéta
ContributorsRonzhina, Marina, Hejč, Jakub
PublisherVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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