DC09

Description

Serious diseases are often not even noticed and we fail to detect the initial symptoms in time. Wearables can help us do this, but even people at risk of chronic diseases often don't use them. Therefore, let's jointly develop algorithms for detecting changes in behavior and activities, using up-to-date non-contact methods sensing motion and biological signals of people using radar technologies. To do this, we will use new technical solutions and modern approaches to process the data we measure in the Health.lab testbed, nursing homes and at home directly with at-risk individuals.

You will be part of a team of 11 Ph.D. students and more than a dozen of their supervisors who are working together on a unique technical solution for radar measurements and their application in real-world applications. You will work with leaders in the field, and your international intensives at KU Leuven and at a company in the US will kick-start your scientific career.

Become part of a dynamic university on the border of three Central European countries, actively involved in the transformation of the whole region. On a modern campus with first-class facilities, including a unique testbed with residential research labs, you'll find an inspiring environment for your work. Join the biomedical engineering team, which actively collaborates with the teaching hospital, medical school and social service providers.

Host institution

VSB

Country

(CZ)

Supervisor

Prof. Martin Cerny & Prof. Marek Penhaker (VSB, CZ)

Co-supervisors

Dr. Ben Hardy (REMCOM, USA)

Objectives

To customize and validate algorithm pipeline for recognizing daily living rhythm changes in application of ambient assisted living for elderly or living-alone adults suffering chronic disease changing daily habits.

Expected Results

Documented relevance of life style & chronic disease; classification/prediction fuzzy expert pipeline for intervention.

PhD enrolment

VSB (CZ)

Planned secondments

KUL, BE (M18-20, mentor: Prof. Dominique Schreurs): train DC09 on hardware aspects of human sensing.

REMCOM, USA (M31-33, mentor & co-supervisor: Dr. Ben Hardy): train DC09 on radio based health monitoring emulation

Candidate profile

MSc. in the field Biomedical Engineering or realted field

Desirable skills and interests

Interest in mmwave radar technologies for health status monitoring ; biosignal processing;  movement analysis; activities of daily living recognition; fuzzy logic; artificial intelligence methods;