Presentation of research activities
The main research activities of Prof. Simalatsar include:
- Physiological signals acquisition and processing, e.g., stress/pain classification based on heart rate (HR) and electrodermal activity (EDA), or electroencephalogram (EEG) based depth of anesthesia evaluation.
- Closed-loop drug delivery systems, e.g., feedback-loop anesthesia delivery.
- Autonomous microfluidics, e.g., systems for blood sample preparation.
- Verification and trustworthy integration of medical devices conforming with system real-time and safety requirements, using correct-by-construction and model verification technics.
Prof. Alena Simalatsar obtained her PhD in computer science and telecommunications technologies in 2009 at the University of Trento (Italy), where she focused on system level analysis methodologies for embarked systems. She received her Bachelor’s and Master’s at the Faculty of Radiophysics and Computer Technologies of the Belarusian State University in 2005. Her dissertation was dedicated to the development of a closed-loop controller for a cyber-physical system, namely a vacuum chamber for thin layers deposition processes. After her PhD, she joined the EPFL’s integrated systems laboratory as scientific collaborator, working on the design and development of technologies intended for critical biomedical systems. Currently, Prof. Simalatsar works as an Assistant HES Professor at the School of Engineering of the HES-SO Valais-Wallis.
Rue de l'Industrie 23
Stress Detection with Deep Learning Approaches using Physiological Signals
Fabrizio Albertetti, Alena Simalastar, and Aıcha Rizzotti-Kaddouri,
In: Goleva R., Garcia N.R..C., Pires I.M. (eds) IoT Technologies for HealthCare. HealthyIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 360. Springer, Cham.
Tools Enabling EEG Signals Analysis and Extraction of Depth of Anesthesia Index in Veterinary Practice
Y. Flück, A. Simalatsar, A. Mirra, D. Hight, and O. Levionnois
Point-of-Care (POC) diagnostics symposium, Davos, Switzerland, Oct. 2021
Methods for Personalised Delivery Rate Computation for IV Administered Anesthetic Propofol
A. Simalatsar, M. Guidi, P. Roduit and T. Buclin
Automated Reasoning for Systems Biology and Medicine, Springer, Computational Biology Series, 2019
Safe and efficient deployment of data-parallelisable applications on many-core platform: theory and practice
S. Skalistis, A. Simalatsar, F. Angiolini, and G. De Micheli
IEEE Design & Test 2017
Representation of Medical Guidelines with a Computer Interpretable Model
A. Simalatsar, W. You, V. Gotta, N. Widmer and G. De Micheli
in International Journal on Artificial Intelligence Tools (IJAIT), vol. 23, num. 3, 201