Beatrice Zanchi
Brugada syndrome identification based on P-wave characteristics: a Machine Learning approach.
Rel. Valentina Agostini, Francesca Dalia Faraci. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2021
Abstract
Brugada syndrome is a hereditary disease with autosomal dominant transmission first observed in 1992 by Pedro and Josep Brugada. The disease causes disorders in the sodium channels within myocardiocytes. The altered function of these channels occurs more frequently in males than in females and generates a varied symptomatic picture. In milder cases, the patient presents with syncopes of arrhythmogenic origin and ventricular fibrillations that stop spontaneously during sleep. In more severe cases, the disease can lead to sudden cardiac death. The prevalence of the syndrome varies widely geographically, ranging from 5 cases per 10'000 people per year in Europe and the United States to 1 case per 2'500 people per year in South-East Asia.
The diagnosis of the syndrome is made by observing the electrocardiographic picture presented in the patient's ECG, investigating the presence of the typical Brugada sign consisting of ST-segment elevation at the end of the QRS complex
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