Bridging model-based and data-driven methods for the characterization, analysis, and monitoring of biomedical signals

Feb 28 2021 02:00 PM - Feb 28 2021 03:00 PM

Abstract:

Physiological signals play a crucial role in health monitoring. They provide vehicle rich information about the patient's state and health, which provides reliable diagnostic, treatment, and preventive solutions for diseases. However, due to their complex nature and the difficulties in collecting a sufficient and diverse dataset, the characterization and interpretation of such signals is often challenging.


In this talk, I will introduce our work on the characterization and analysis of biomedical signals using both data-driven and model-based methods. I will illustrate this work through two applications: (i) the assessment of arterial stiffness from non-invasive blood pressure measurements and (ii) the detection of epileptic seizure spikes using Magnetoencephalography (MEG) signals.


Bio:

Dr. Meriem Laleg is an Associate Professor in the division of Computer, Electrical and Mathematical Sciences and Engineering at KAUST. She is also a member of the Computational Bioscience Research Center (CBRC). She joined KAUST in 2011 after being a postdoctoral fellow and a researcher at the French Institute for research in Computer Sciences and Control Systems (INRIA) in Bordeaux. She received her Ph.D. in Applied Mathematics in 2008 from INRIA and Versailles University. Professor Laleg's work is in the general area of mathematical control theory, systems modeling, signal processing and their applications. Her primary research goals are directed towards developing effective estimation methods and algorithms to understand complex systems, extract hidden information, and design control and monitoring strategies.


Her research projects are motivated by real-world problems in engineering and biomedical fields. She is an IEEE senior member, a member of the IEEE Control Conference Editorial Board, an associate editor of the IEEE access Journal and several control conferences including the European Control Conference. She is also a member of the international federation of automatic control (IFAC) technical committee on Biological and Medical systems (TC8.2) and Modeling and Control of Environmental Systems (TC8.3)

Dr. Meriem Laleg is an Associate Professor in the division of Computer, Electrical and Mathematical Sciences and Engineering at KAUST. She is also a member of the Computational Bioscience Research Center (CBRC). She joined KAUST in 2011 after being a postdoctoral fellow and a researcher at the French Institute for research in Computer Sciences and Control Systems (INRIA) in Bordeaux. She received her Ph.D. in Applied Mathematics in 2008 from INRIA and Versailles University. Professor Laleg's work is in the general area of mathematical control theory, systems modeling, signal processing and their applications. Her primary research goals are directed towards developing effective estimation methods and algorithms to understand complex systems, extract hidden information, and design control and monitoring strategies.


Her research projects are motivated by real-world problems in engineering and biomedical fields. She is an IEEE senior member, a member of the IEEE Control Conference Editorial Board, an associate editor of the IEEE access Journal and several control conferences including the European Control Conference. She is also a member of the international federation of automatic control (IFAC) technical committee on Biological and Medical systems (TC8.2) and Modeling and Control of Environmental Systems (TC8.3)