Описание

Аннотация

Nowadays information (digital) technology is an indispensable attribute of sports, health and fitness and biomedical practice. Electronic document management is being carried out and statistical reports and databases are being prepared with the help of specially designed software in most of sports, educational and medical institutions. A more complex product of digital technology (DT) is information support of sports events and games in professional team sports leagues. Data mining systems (MedMining) are of particular attention in the spheres of elite sport and biomedicine. However, notwithstanding the general remarkable success of DT, the application of data mining techniques in the field of sport is still limited. They mainly concern the issues such as evaluation of game strategy, forecast of efficiency of training load and risk of injury, analysis of team and individual actions in various, mostly team, sports. The number of studies devoted to the development of data mining systems in sport in general and combat sports in particular is very limited. The researchers of the Laboratory of Biomechanics and Kinesiology, the Department of Automated Information Processing and Management Systems, LLC Design office «Automated systems and system analysis»under Surgut State University, perform a joint project involving development of the program for collection, processing, analysis and management of biomedical indicators of athletes of the Children’s Sports School of the Olympic Reserve in Surgut. In the present paper we examine the main prerequisites for the establishment of the data mining system and possible aspects of its implementation during the long-term training of the Olympic reserve and elite judokas.