Intelligent Information and Measurement System of Monitoring Results and BFB-Trainings

The problem of increasing the efficiency of diagnosis and prevention of the development of nervous, musculoskeletal and cardiovascular diseases, diseases that often lead to disability, especially at a young age, is considered. Analyzed approaches to solving this problem, associated with the need to measure analyze large unstructured data that requires the use of modern intellectual methods. The proposed application of an integrated approach, which includes the theoretical study of the problem and the practical implementation of research, the creation of methods for finding interdependent factors and the development of special equipment and software. This article details the problems associated with measurement, structuring, and processing of biomedical data obtained before, after and during multichannel biofeedback training for students with disabilities. Methodologically, three levels of the ontological model are used to analyze analytical decision models for an inclusive process. Based on the ontological description of the process of inclusion, a generalized structure of intelligent information and measurement system was developed, the core of which is the knowledge base, built on the databases on the physical and psychological characteristics of students. The practical implementation of the considered approach to building the intelligent information and measurement system of support for the educational process will allow building individual learning paths for students, which will affect the improvement of the quality of the educational process, and will prevent the development risks of nervous, musculoskeletal and cardiovascular diseases.