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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Detection of selected cardiac arrhythmias in ECG
 Němečková, Karolína ; Ředina, Richard (referee) ; Ronzhina, Marina (advisor)
This thesis deals with classification of ECG records focusing on less classifiable arrhythmia (atrial flutter, atriventricular block I. and II. degree). In the theoretical part of the thesis deep learning used in classification of ECG records with a focus on the convolutional neural networks are described. The database of ECG records with a brief description of detected arrhythmias is further described. The practical part implements the proposed convolutional neural network in the Python environment. The evaluation of the arrhythmia detection quality was done using mainly the F1 score. The results were discussed at the end of the thesis.
Detailed record
Detection of selected cardiac arrhythmias in ECG
 Němečková, Karolína ; Ředina, Richard (referee) ; Ronzhina, Marina (advisor)
This thesis deals with classification of ECG records focusing on less classifiable arrhythmia (atrial flutter, atriventricular block I. and II. degree). In the theoretical part of the thesis deep learning used in classification of ECG records with a focus on the convolutional neural networks are described. The database of ECG records with a brief description of detected arrhythmias is further described. The practical part implements the proposed convolutional neural network in the Python environment. The evaluation of the arrhythmia detection quality was done using mainly the F1 score. The results were discussed at the end of the thesis.
Detailed record
Detekce a léčba izolované atrioventrikulární blokády u plodu
Tomek, Viktor ; Škovránek, Jan ; Fakultní nemocnice v Motole (Praha, Česko).
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