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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Automatic -wave detection in 12-lead ECG
 Khunová, Martina ; Filipenská, Marina (referee) ; Ředina, Richard (advisor)
This bachelor thesis deals with the automatic detection of delta waves from the 12-lead ECG in Matlab. In the theoretical part, the anatomy and physiology of the heart is briefly described, the reader gets familiar with Wolff-Parkinson-White syndrome, and through the manifestations of delta waves on the electrocardiogram we come to the description of linear filters and detection of the QRS complex based on the envelope. In the first part of practical part, a QRS complex detector is constructed, which is followed by a delta wave detector. The detection of the delta wave is based on the measurement of the duration of the peak and its derivation. The detector was tested on a database which data comes from pediatric patients.
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ECG-based biomarkers for estimation of sudden death risk in patients with accessory atrioventricular pathway.
 Tomková, Lucia ; Ředina, Richard (referee) ; Hejč, Jakub (advisor)
The aim of this work is to acquaint the reader with the delta wave manifestation on the electrocardiogram in pediatric patients with Wolf-Parkinson-White syndrome who are at risk of sudden cardiac death. Subsequently, in the work we deal with the processing of data from the electrophysiological examination and the creation of algorithms for the extraction of biomarkers from the ECG signal in the Python programming language. The work includes statistical analysis of biomarkers, focusing on the difference in datasets for at-risk and non-at-risk patients. Biomarkers that have a statistically significant difference in the datasets are used to create and select a suitable model for predicting the risk of the accessory pathway in patients.
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