Public Lecture 2022

Challenges in Smart Patient Monitoring: from Raw Data to Decision Support

Sabine Van Huffel (Professor Emerita in the Department of Electrical Engineering at KU Leuven)

May 4, 2022 (6:00 pm CST), Registration is Required.

Abstract: After a general brief introduction to the field of smart patient monitoring under study, the underlying mathematical and numerical challenges will be highlighted when capturing the raw sensor data and trying to transform these into interpretable knowledge for medical diagnostics. Attention will be focused on the power of matrix/tensor algebra and data-driven AI in digital healthcare.

In particular, the power of the underlying mathematical layers (without explaining the theory) will be illustrated in a variety of case studies in smart patient monitoring, such as wearable health taking epilepsy monitoring as use case , sleep staging, neonatal brain protection, and cancer diagnostics.

Each key problem will be introduced including the main algorithms based on advanced signal processing and machine (deep) learning, together with the associated challenges before using these in clinical practice. This research strongly benefits from a long-term collaboration with diverse units ofUZ Leuven, the largest University hospital of Belgium.

For more information and additional references, see

Spring Lecture Series, Public Lecture Poster [PDF]

Updated: 11/29/21