Abstract. The project aims to create а solution to the problem of early diagnostics of neurodegenerative disorders, accompanied by imbalance, and to develop rehabilitation methods for patients with vestibular disorders. The balanced upright position is a result of interaction between vestibular system, skeleton and muscles, visual, and proprioceptive systems. Postural abnormalities are caused by morphological or functional alteration of the components of the equilibrioception system. These disorders weaken the ability of the central nervous system to process vestibular, visual and proprioceptive signals, which are responsible for the sense of balance. Moreover, it also decreases the plasticity of the nervous system, resulting in adaptation disfunctionality. Unfortunately, premorbid detection of vestibular dysfunctions is quite a complicated test because available methods to evaluate postural reflexes have low sensitivity and specifity. Consequently, the development of methods to assess functional state of the equilibrioception system becoming viable in order to detect neurodegenerative disorders as early as possible, to control treatment and rehabilitation procedures.
A multi platform software package is presented that assesses condition of mother and fetus by analyzing signals recorded with abdominal electrodes. The package consists of mobile applications and a software module that is located in a data center. The mobile application records, transmits, and displays information on the status of the mother and fetus. The software module performs data processing and calculation of diagnostic characteristics. Using this package, studies to assess the functional state of fetuses were conducted.
This work represented one of the possible approaches to providing the required computational resources for solving the complex data processing tasks in biomedicine. The proposed solution is based on four tightly interacted key components of modern high performance computational systems: high performance computational cluster, data processing center, specialized data store and protected telecommunication channels. The examples of tasks, which have been solved in the developed information environment, are given.
The medicine is weakly formalized domain, and preliminary study of knowledge structure is necessary for computerlearning programs development. Semantic network can be offered as an universal knowledge model for higher medical education. The links between nodes reflect their semantic distance. Graph theory is an adequate tool for knowledge structure investigation, and the results of one prove knowledge models for certain domains and optimal navigation through the program. The last depends on personal features of students, too. So, the basic principles for computer learning programs development in higher medical education are knowledge structure modeling and individual learning navigation.
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