Matteo Gadaleta was born in Molfetta in 1989. He received a B.Sc. degree in Electronic Engineering in 2012 and a M.Sc. degree in Electronic Engineering in 2014, both from the Politecnico of Bari.
For his Bachelor Thesis, a method for Ventricular Late Potentials (VLP) detection in ECG signals was developed. The presence of VLP in the ECG signal has been associated with damages in the ventricular myocardial tissues.
For his Master Thesis he worked on implementation of ultra low energy wireless flood sensor, for interfacing with central unit of intrusion detection systems.
He currently has a research grant at the Department of Information Engineering at the University of Padova for the project entitled “Boosting Efficiency in Biometric Signal Processing for Smart Wearable Devices: Feature Extraction Techniques”.
He is collaborating with the SIGNET group, at the same institution, for the development of an activity recognition system using signals acquired from wearable sensors, under the supervision of Prof. Enrico Grisan and Prof. Michele Rossi.