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Biomedical engineering (BME Group)

The main research objective is interpretation of bioelectrical and bio-optical signals with goals to realize cognitive processes, early diagnose atherosclerosis, investigate sudden death risk with various heart diseases, diagnose the status of patients and monitor clinical treatments.

Background. BME team belongs to Technomedicum (TM), a research, educational and development institution established at TUT in 2006. The aim of establishing TM was to create an innovative and interdisciplinary research unit combining efforts of TUT, hospitals and other healthcare organizations in Estonia to provide innovative solutions and know-how in medicine, technology and science. TM will serve as a generator of synergy within multidisciplinary collaboration of doctors and engineers in high scientific level for the benefit of human health and wellbeing and to pool technology that conforms to the best European standards. Two structural units of TM - Department of Biomedical Engineering and Cardiology Centre - are involved in the state-financed project “Interpretation of biosignals in biomedical engineering” as a base for BME group within the CEBE.

Visions and goals. The common feature of the research with different topics is application of bioengineering and modern signal analysis to different biosignals in order to improve existing and develop new non-invasive methods within medical technology. Currently, an active worldwide scientific work is directed to understand and affect the processes in the brain, to monitor blood pressure and heart-vascular diseases, to study potentially dangerous myocardial arrhythmogenic behaviour, and to monitor end stage renal disease patient treatment quality. The EEG/ERP/EP analysis, linear (spectral, correlation, etc) and nonlinear (entropy, length distribution of low variability periods, etc) and ICA signal processing methods are utilised. Theoretical models are used for planning of experiments and interpretation of the results.

The main research topics are: (1) brain research; (2) diagnostics of cardiovascular diseases; (3) sudden cardiac death prediction; (4) bio-optical monitoring.