The project aims at developing a toolkit to measure early damage to the circulatory and autonomic nervous system caused by diabetes mellitus (DM). Using quantitative estimates of non-invasive methods using relatively simple physiological samples, early, potentially reversible changes in vascular and autonomic nervous system function are determined. The project will use innovative biosignal and thermographic data technologies that enable synchronous recording of multimodal and multi-parameter data flow during dynamic tests, process it, deliver results in an integrated user interface. Accumulated data will be further processed using artificial intelligence algorithms to offer early warning diagnostic solutions to doctors.
Project funding:
KTU R&D&I Fund
Period of project implementation: 2018-03-20 - 2018-12-31
Project partners: Lithuanian University of Health Sciences
