Maarten De Vos

Professor Maarten De Vos leads the computational Intelligence in Biomedical Monitoring Laboratory, we are based at the Institute of Biomedical Engineering. The emphasis of the group is on engineering intelligent solutions for perinatal care, sleep monitoring and mobile, real-life brain monitoring.

Maarten's group applies advanced signal processing and machine learning techniques to enhance our understanding of the human brain, to develop rehabilitation strategies and to provide (semi-) automated decision support systems for patient monitoring in different fields. As medical data is often highly dimensional, multimodal and temporally dense, a particular focus is on mining these available biotensors with a variety of data-driven tensor methods and tensor fusion.

They work in a truly interdisciplinary environment, having collaborations with world-leading clinicians from the Oxford University Hospitals NHS Trust, fMRIB, the Oxford Centre for Affordable Healthcare at Kellogg College, and the Sleep, Circadian and Neuroscience Institute (SCNi) to address unmet clinical needs. As the goal of each project is to directly impact clinical care, particular focus is on the implementation of new biomedical technologies through large clinical trials and technology transfer into available products.

Wearable Monitoring

Sensors for heart and brain monitoring

Sleep and Circadian Monitoring

Neonatal brain maturation, sleep disorders and health degeneration

Digital Technologies in Mental Health Monitoring

Depression, psychiatric disorders, mood, GPS data, heart rhythm changes

Digital Technologies for Neurological Disorders

Parkinson's and RBD patients

Computational Approaches

Tensor decompositions, deep learning and individualised machine learning

Global Health

Affordable health for developing countries