Case Study: Medical Device solution for Maternal Health

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Lecture infos

School: XLI Annual School 2022 – Biomedical Engineering for Sustainable Development

Date: 13.09.2022 - 15:00

Speaker

Maria Gabriella Signorini, Nicolò Pini

Polytechnic of Milan, Italy

Maria Gabriella Signorini is Full Professor in the scientific community of Bioengineers at the Department of Electronic, Information and Bioengineering (DEIB), Politecnico di Milano since 2021. 2003-2021, she served as Associate Professor. At the same University, she obtained the Ph.D. in Biomedical Engineering In 1996-98 awarded a Post doc fellowship at the Biomedical Engineering Department. In 1999 she became Research Assistant. 2004-2014 she was the Coordinator of the Biomedical Engineering PhD track at the Doctorate School of the Politecnico di Milano, the most important Bioengineering PhD track in Italy. In 2014 -2016 she has been charged by the Italian Government as one of the nine members of the national Committee of Experts for the Policy of the Research (CEPR) at the Ministry of the University and Research (MIUR). Member of the GNB Directive Board Her main research field is focused on biomedical signal processing for the extraction of new clinical and diagnostic knowledge. The final goal of her activity is to improve healthcare paths and medical devices by introducing both new methodological approaches and technological solutions. The scientific activity of MGS has been dedicated to nonlinear chaotic system theory and on the applications of nonlinear analysis to experimental time series. Her work produced original results demonstrating possible improvements of the methods and systems applied to cardiovascular time series analysis and classification. Her activity is also devoted to multiparameter approaches integrating linear and nonlinear parameters towards the prediction of risk in antepartum fetal monitoring, premature babies, dialysis patients and others cardiovascular disease states. Research results have been translated into technological solutions with modification of existing instrumentations and biomedical devices (Cardiotocography, Dialysis) or design of new instrumentation (wearable fetal HR monitoring). MGS is working on AI classifiers, ML, Deep Learning models physiolodìgical feature based. In this context she is founder and member of the interdepartment lab DATACLOUD http://www.datacloud.polimi.it/), an high computing research infrastructure. MGS is involved in many national and international collaborations. Maria G. Signorini participates to research projects both as principal investigator and co-investigator. She is author of of more than 200 publications in the field of Bioingeneering journal papers, book chapters and international conference proceedings. She serves as Associate Editor for Computer, Methods and Programs in Biomedicine since 2018. Associate Editor Frontiers Neuroscience since 2016. Referee for several Scientific Journals in the field. (IEEE-EMBS Trans., Physiol. Measur, Chaos, Biom Eng &Comp, Sensors, Entropy, …). Since 2007 she is Associate Editor for the IEEE-EMBS Conference, Theme: Biomedical Signal Processing