Francesco Renna, professor at the Department of Computer Science at the Faculty of Sciences of the University of Porto (FCUP) and a researcher at Instituto de Telecomunicações (IT), won the "Best in-person poster presentation award" at the main world conference on cardiology signal processing, Computing in Cardiology, which took place recently in Brno, Czech Republic.

The presentation resulted from the research published in the brief article “Joint Training of Hidden Makov Model and Neural Network for Heart Sound Segmentation" (read it here), in co-authorship with Miguel Coimbra (FCUP and INESC TEC) and Miguel Martins (INESC TEC).

"Our work is about the use of artificial intelligence techniques for processing cardiac auscultation signals collected with a digital stethoscope. The main novelty to the proposed approach was the use of a hybrid technique that combines the advantages of deep learning and models classical statisticians," explains Renna.