180 likes | 426 Views
Czech Technical University in Prague Faculty of Electrical Engineering. Laborato ry of Biocybernetics. Head of the Laboratory : Lenka Lhotská lhotska@fel.cvut.cz http://gerstner.felk.cvut.cz /biolab. Activities. Education Research p roje c t s Pra c tic al a p pli c a tions. Education.
E N D
Czech Technical University in Prague Faculty of Electrical Engineering Laboratory of Biocybernetics Head of the Laboratory: Lenka Lhotská lhotska@fel.cvut.cz http://gerstner.felk.cvut.cz/biolab
Activities • Education • Research projects • Practical applications
Education • Fundamentals of Biocybernetics – fundamental cybernetic methods and their application in biology and medicine, explanation of signal and information processing in living and non-living systems, simulation and modeling of biological systems • Bionics – analogy of biological and artificial systems (artificial life, simulation of biomedical systems, artificial organs) • Processing of Biological Data – methods of intelligent data processing, machine learning methods, data mining applied to biological data • CognitiveProcesses - structure and basic functions of brain, processing of information from receptors, learning, neural networks, evolutionary computation
Research Topics • Processing of biological signals (e.g. ECG, EEG, EOG, EMG) – data mining techniques, hybrid AI methods for evaluation • Decision support systems in medicine • Modeling of biological systems • Inteligent man-machine interface • Operator testing • Controlling PC by eye movements • Application of multiagent systems in medicine • Analysisof acoustic scene
Research Projectsin 2002 • Transdisciplinary research in biomedical engineering (Czech project) • Development of models of biocybernetic systems (Czech project) • Simulation ofcognitive processes of a human operator (Czech project) • Human factor in security analysis of technical systems (Czech-German project) • Inteligent systems in medicine (Czech-Slovenian project)
Cooperation • 1st Medical School of Charles University • University hospital Motol • University hospital Bulovka • Jedlicka’s Institute and School for Handicaped People • Training Centre of ČEZ (power generation and distribution company) • Training company EDOST (thermal power plants) • University of Aplied Sciences Zittau-Goerlitz (Germany) • University of Maribor (Slovenia) • University of Valencia (Spain)
Examples of PhD Theses • Application of AI methods to biological data processing • Classification of space ECG records • Processing biological signals using Hidden Markov Models • Machine learning on medical data
Recent Publications • Fejtová, M. - Lhotská, L. - Macek, J. - Kittnar, O.:ECG Signal Classification Using AI Methods. In: Cybernetics and Systems 2002, volume II. Vienna : Austrian Society for Cybernetics Studies, 2002, vol. 2, pp. 859-866. ISBN 3-85206-160-1. • Fejtová, M. – Nejedlý, B. – Lhotská, L. – Eck, V: Model of glycemy regulation for education. In: Diabetes, Nutrition and Metabolism Clinical and Experimental. 13, No. 4, (2000) s. 236 – 236. ISSN 0394-3402. • Šorf, M. - Lhotská, L.: Computer Supported Selection of a Hearing Aid, IASTED AI2002, Innsbruck, Austria, 2002. • Cuesta-Frau, D. – Novák, D. – Pirez-Cortis, J.C. – Andreu-Garcma, G.: Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study, International Conference on Pattern Recognition (ICPR-2002) Quebec, Canada. August 2002.
Recent Publications (cont.) • Lhotská, L. - Štěpánková, O.: Multiagent Systems as Decision Support Tool in Medicine. In: BASYS 2002 Conference Proceedings - 5th IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services [CD-ROM]. Dordrecht : Kluwer Academic Publishers, 2002 • Janků, L. - Lhotská, L.: Towards the Applications of Fuzzy Logic to the Sound Recordings. In: Recent Advances in Computers, Computing and Communications. New Jersey : WSEAS Press, 2002, p. 271-274. ISBN 960-8052-62-9 • Janků, L. - Lhotská, L. - Křemen, V.: Additional Method for the Evaluation of the Training Capturing: Intelligent System for the Estimation of the Human Supervisory Operator Stress Level under the Normal Safety Critical Circumstances. In: Intelligent E-Health Applications in Medicine and Other Medical Applications of Adaptive/Hybrid Intelligent Systems. Aegean : University of the Aegean, 2002, vol. 1, p. 147-153. ISBN 960-7475-20-8