PhySense
PhySense
Sensing in Physiology and Biomedicine
PhySense research is focused on data analysis and modeling techniques in a wide variety of medical fields, with emphasis on the translation of the developed solutions, in collaboration with academic, industrial, and clinical partners.
- Patient-specific cardiac simulations to aid support medical decisions for personalized device implantation and ablation therapies.
- Advanced visual analytics and interactive computer graphics for enhanced medical data visualization.
- Biomechanical model of brain development to better understand cortical abnormalities during pregnancy.
- Deep learning analysis of complex imaging data and electrophysiological signals.
- Development of interpretable artificial intelligence to identify key biomarkers from large, multimodal datasets.
Innovative data analysis and modeling for real-world healthcare solutions.
Team coordinators
Find our team leader below
Oscar Camara
Full professor in Biomedical Engineering, Principal Investigator of PhySense since 2011 and Director of the Engineering School at UPF since 2021. He is a Telecommunication engineer (UPC), with a PhD in Image Processing at the ENST Paris, and postdoctoral experience at KCL and UCL in London.
He has numerous publications and several patents, being co-founder of two spin-offs (Miwendo, VirTest), and PI of EU projects continuously since 2013. His research focuses on medical data analysis and computational models for clinical translation, mainly in cardiology and neurology.