During my academic career, I specialized in elaboration and analysis of cardiac signals, with a Master Degree in Biomedical Engineering (December 2015) on the thesis “Atrial Fibrillation detection in PPG signal recorded through a wristband device”.[1] After one year spent working on physiological signals in a neuromarketing laboratory at IULM University in Milan, in 2017 I started my PhD work in collaboration between Politecnico and Cardio Centro Ticino on the project “Novel ECG feature extraction methods and Big data analytics tools for the screening of Atrial Fibrillation population recordings”. The aim of the project is analyzing a large dataset of more than 4000 ECG recordings and researching patterns and indices that could characterize the ECG in the general population of AF patients.
^Ferranti, Lorenzo; Laureanti, Rita (2015). Atrial Fibrillation detection in PPG signal recorded through a wristband device (Thesis). Politecnico di Milano.
