World Congress on Medical Physics and Biomedical Engineering 2018, 1st ed. 2019 June 3-8, 2018, Prague, Czech Republic (Vol.3) IFMBE Proceedings Series, Vol. 68/3
Coordonnateurs : Lhotska Lenka, Sukupova Lucie, Lacković Igor, Ibbott Geoffrey S.
Lenka Lhotská, PhD, CEng, MIET, MIEEE, graduated as Master of Science in Electrical Engineering at the Czech Technical University in Prague (CVUT), Czech Republic. In 1989 she got her PhD degree in Cybernetics from CVUT. Currently she is head of the COGSYS Department (Cognitive Systems and Neurosciences) at the Czech Institute of Informatics, Robotics and Cybernetics and head of Department of Natural Sciences of the Faculty of Biomedical Engineering, CVUT. Her research focuses on following areas: Knowledge-based systems, data and knowledge representation, application of artificial intelligence methods to medicine, digital signal processing, machine learning, feature extraction and feature selection, semantic interoperability, mobile technologies in healthcare, electronic health record. She is chair of the Working Group Personal Portable Devices of European Federation for Medical Informatics, Member of the Council of the Czech Society for Biomedical Engineering and Medical Informatics, National representative in International Society for Telemedicine and eHealth (IsfTeH), National representative in International Federation for Medical and Biological Engineering (IFMBE), and Member of the Engineering Academy of the Czech Republic.
Presents the proceedings of the IUPESM World Congress on Medical Physics and Biomedical Engineering in Prague, 2018
Date de parution : 05-2018
Ouvrage de 888 p.
21x27.9 cm
Thème de World Congress on Medical Physics and Biomedical... :
Mots-clés :
IFMBE; IUPESM; Diagnostic Imaging; Image Processing; Information Technology in Healthcare; Modelling and Simulation; BME and MP Education; Biomechanics; Rehabilitation and Prosthetics; Biosignals Processing; Diagnostic and Therapeutic Instrumentation; Minimum Invasive Surgery; Robotics; Image Guided Therapies; Biosensors; Assistive Technologies; Biomaterials