Original title: Automaticka diagnostika 12svodoveho EKG pomoci hlubokeho uceni
Translated title: Automatic diagnosis of the 12-lead ECG using deep learning
Authors: Blaude, Ondřej ; Smital, Lukáš (referee) ; Provazník, Valentine (advisor)
Document type: Master’s theses
Year: 2023
Language: cze
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Abstract: [cze] [eng]

Keywords: 1D convolutional neural network; artificial intelligence; classification; CNN; deep learning; diagnostics; ECG; F1 score; machine learning; Physionet database; residual block; signal downsampling; standard twelve-lead ECG; 1D konvoluční neuronová síť; CNN; diagnostika; EKG; F1 skóre; hluboké učení; klasifikace; Physionet databáze; podvzorkování signálů; reziduální blok; standardní dvanáctisvodové EKG; strojové učení; umělá inteligence

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/210211

Permalink: http://www.nusl.cz/ntk/nusl-526713


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Master’s theses
 Record created 2023-06-18, last modified 2023-06-25


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