Innovative Technologies and Signal Processing in Perinatal Medicine (PDF)

Danilo Pani, Ph.D., is Associate Professor of Bioengineering in the Department of Electrical and Electronic Engineering, University of Cagliari, Italy, where he also received his Ph.D. in Electronic and Computer Engineering. His research interests are in the field of real-time digital processing of bio-signals and medical devices. His main research achievements are in the areas of fetal ECG, textile electrodes, real-time embedded processing of signals from the peripheral nervous systems for motor neuroprostheses, and telehealth systems. He is currently professor of Electronic Signal Processing and Biomedical Instrumentation for the B.Sc. program in Biomedical Engineering. He is co-founder and treasurer of the IEEE Sensors Council Italy Chapter, a member of the board of the National Bioengineering Group, appointed expert for the Independent Ethics Committee of the University Hospital of Cagliari, and member of UNINFO Committee for Medical Informatics, and participates asItalian expert to CEN Technical Committee 251, WG 2 and the to some standard WGs. He is PI of the DoMoMEA project, and unit coordinator of the Flag-Era Convergence Project and the MIUR PRIN ICT4MOMs. He is the Chair of the first and second (upcoming in 2021) International Summer School on Technologies and Signal Processing in Perinatal Medicine.


Maria G. Signorini, Ph.D., is Associate Professor in the Department of Electronic, Information and Bioengineering at Politecnico di Milano, where she also received her Ph.D. in Biomedical Engineering. Dr. Signorini served as Coordinator of the Biomedical Engineering Ph.D. track at the Doctorate School of the Politecnico di Milano from 2004 to 2014. Her main research field is focused on improving healthcare paths and medical devices by introducing both new methodological approaches and technological solutions based on biomedical signal processing. Her activity is devoted to multiparameter approaches to integrating linear andnonlinear parameters