The Axe Santé is organising a Health Tech Lunch on Monday, May 29th from 12:00 to 12:45 at Energypolis in Sion (19.N512).
Biography : In the past 10+ years, Prof. Simalatsar has been involved in several MedTech projects addressing the question of verification and trustworthy integration of medical devices conforming with system real-time and safety requirements. During these years she has developed a great experience in closed-loop drug delivery systems, autonomous microfluidics, and physiological signals acquisition and processing as well as experience in creation of MedTech startup.
She is the author of more than 30 peer-reviewed publications in well-recognized journals and conference proceedings as well as two book chapters. In 2021, she has received a grant for DoAi-Vet as a Principal Investigator, the aim of which is to develop basic tools for EEG signal processing collected from pigs under anesthesia.
Abstract : The controlled delivery of intravenous (IV) anesthetics aims at fast and safe achievement and maintenance of a suitable depth of anaestghesia (DoA), by ensuring appropriate effect site (i.e. brain) exposure to the drug. Today, such drugs are regularly injected by Target Controlled Infusion (TCI) systems, piloted by an open-loop algorithm based on Pharmacokinetic (PK) models. Yet the inaccuracy of concentration prediction of current TCI can reach up to 100%. The situation could be improved by closing the loop with feedback information coming from various state monitors, e.g., sensors providing regular real measurements of medicaments blood concentrations, DoA index derived from Electroencephalogram (EEG) or other monitors of patient state. However, due to high risk of harm to potential patients, such approaches require exhaustive testing and verification of medical device functionality. During the presentation I will first give a global overviews of the control strategies for IV anaesthesia delivery. Farther, I will also talk about an approach to perform in silico clinical trials (ISCT) for closed-loop drug delivery device using synthetic biomedical data generation. Bio : Prof. Alena Simalatsar is a young tenure-track assistant professor at Institute of Industrial System Engineering HES-SO, Valais-Wallis, Sion, working in the domain of medical instrumentation. She has received her PhD in Electrical Engineering and Computer Science in 2009 from the University of Trento, Italy, and Master’s degree from Belarusian State University, Minsk, Belarus, both focusing on system-level analysis methodologies for embedded systems.