Co-Investigators:
Annotation:
Quantitative methods for evaluation of kinematic motion data of body segments are an essential tool in the study of biomechanics of the musculoskeletal system, its structure and behavior. Many methods have been proposed for evaluation of kinematic parameters, including original methods proposed at FBME CTU in cooperation with the 1st FoM, 2nd FoM and FoM in Hradec Kralove. These methods are currently being tested and introduced into clinical practice. Primarily, however, these methods are used to assess postural stability while standing and walking, but are not modified and sufficiently tested for the evaluation of the combined and acyclic movements of body segments. The project is focused on the development and optimization of methods for the quantitative assessment of kinematic data combined and acyclic movements of body segments, in accordance with the requirements of the university hospitals and Faculty of Science. We suppose the use of MoCap systems for measuring kinematic parameters of movement of body segments, in accordance with current requirements of practice and research of nervous system. Methods of quantitative evaluation of kinematic parameters will be based on evaluation of data in time domain, frequency domain and diagrams of interdependences of measured quantities of the combined and acyclic movements of body segments of patients, healthy subjects and animals. The anticipated outcome of the work of master students and PhD students are optimized, developed and tested methods of quantitative evaluation of kinematic data of the combined and acyclic movements of body segments. Scientific results obtained during the testing of the methods will be presented in international journals, in cooperation with associated research groups involved in the measurement and evaluation of the parameters of movement. This will be the General University Hospital, Motol University Hospital, Joint Department FBME CTU and 1st Faculty of Medicine CU and Faculty of Science of
Department:
Department of Natural Sciences
Year:
2016 - 2016
Program:
Studentská grantová soutěž ČVUT - SGS16/109/OHK4/1T/17