Our goal was to find a way to model the two states associated with the sensorimotor rhythm: synchronized (rest) and desynchronized (active). The BCI system should give the patient neurofeedback according to his sensorimotor rhythm. This is done by using electroencephalographic (EEG) signals in a brain computer interface (BCI) setup. The effect of this approach is improved by neurofeedback. One method is the practice of motor imagery. Several methods exist for stroke rehabilitation. The available software should of course be improved and evolved during my thesis.ĪUTOMATIC CLASSIFICATION BETWEEN ACTIVE BRAIN STATE VERSUS REST STATE IN HEALTHY SUBJECTS AND STROKE PATIENTS As the name implies it should take some already available software, like SpectraClassifier (SC) and the INTERPRET Decision Support System (DSS), and transform them into plug-ins for jMRUI. My personal project is supposed to be delivered within 36 months from the start-date. My research falls in the Research Program 2 (RP2) research programme of TRANSACT: “MRS in multi-modal fusion”. This research will be developed in the context of the following EU Initial Training Network (FP7-PEOPLE-2012-ITN): TRANSACT, Transforming Magnetic Resonance Spectroscopy into a Clinical Tool, to which I have been appointed as a Marie Curie Early Stage Researcher (ESR). July 2010 - Bachelor in Applied Electronics, Universitatea Politehnica Bucuresti, Facultatea de electronica, Telecomunicatii si Tehnologia Informatieiĭecision support system and spectral classification tool meta-plug-ins for the jMRUI platform Romanian, English, Italian, French, German, Japaneseĭecember 2012 - MsC in Electrical Engineering - Biomedical Systems, University of Twente 51: 3619–3627.Pattern recognition, Signal Processing, Machine Learning, Brain Computer Interface, Magnetic Resonance Spectroscopy, Brain Tumor, Decision-Support Systems Neural network design applied to protein-secondary-structure prediction. The branching patterns of blood vessels (a theoretical approach). Arterial bifurcations in the cardiovascular system of a rat. Arterial bifurcation in the human retina. Optimality principles in arterial branching. Structure of a protein superfiber: spider dragline silk. New York, Macmillan (published originally by Cambridge University Press, 1917). Quantum fluctuation and minimum detectable energy. Multiplication noise in the human visual system at threshold. Thermodynamic optimizing principles in mitochondrial energy conversion. Molecular design of an amplification cascade in vision. The rational design of amino acids sequences by artificial neural networks and simulated molecular evolution: de novo design of idealized leader peptidase cleavage site. Perspectives in Biology and Medicine 26: 229–242. Design and synthesis of multi-haem proteins. Optimal design principle as a legitimacy of bionics. How calmodulin binds its target: sequence independent recognition in Amphiphilic α-Helices. A quantitative comparison of cellular motile systems. Teleonomical optimization of a fractal model of the pulmonary arterial bed. Optimum power output and structural design of sarcomers. Self-Organization and Associative Memory. Perspectives in Biochemistry 31: 7211–7218. Prediction of structural and functional features of protein and nucleic acids sequences by artificial neural networks. European Physical Society, September, 3–7. Third Graduate Course on Computational Physics. Neural networks and applications tutorial. Franckhische Verlagshandlung.įrancé, R.H. Molecular mechanism of spider silk elasticity. Concepts and approaches in animal morphology. Nucleic Acid Research 19: 1593–1599.ĭullemeyer, P. Adaptation reversion of a frameshift mutation in Escherichia coli. A novel approach to prediction of 3-dimentional structures of protein backbone by neural networks. September 13-15, Wright Air Development Divisionīohr, H., J. Identification of amino acids essential for calmodulin binding and activation of smooth muscle myosin light chain kinase. Cambridge, Cambridge University Press.īagchi, I.C., Q.
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