The article presents findings of studying the dynamics of human gait parameters at various speed using the chaos and self-organization method. The examination of change in parameters of quasi-attrac-tors square at different speed modes is conducted on 18 participants of 20 ± 2 y. o. running on a treadmill with variable speed from 2 to 7 km/h. Their parameters of step length, mode amplitude, gait index, duration of legs support and steps are recorded. The highest quasi-attractors square parameter was determined at a speed of 2 km/h, the decreased one at a speed of 4 km/h, and an increase at the maximum speed. Therefore, the decreasing dynamics of quasi-attractors square can indicate a transition of the system into a steady state

The article analyzes literature on the use of Shewhart control charts for various purposes and presents examples of applying a proposed statistical method in medicine. The study demonstrates that it is possible to identify situations common for the transferring stage from one functional condition to another (including pathologic one) using Shewhart control charts for prediction of critical conditions in the biosystem and its parameters (on the example of time series of cardiovascular system’s RR intervals).

The article examines the issues of hybrid simulation of anthropomorphic human wrist based on the integration of CAD/CAE systems and environment of physical simulation, as well as the SimMechanics multijointed special mechanisms of the Simulink system, which are used for grip dynamics simulation and wrist effort analysis. The object of the study is a solid model of a wrist designed in SolidWorks.

The study presents a development of a modular system for prototyping a neural prosthesis aimed at compensating functions of damaged or lost structures of central nervous system using electronic devices that mimic the behavior of biological neurons. Artificial neurons demonstrate the ability to respond to an external stimulation or a signal from presynaptic neuron with impulsion; the ability to perform spatial and temporal summation, neural plasticity, all of which demonstrate capabilities of the developed system.

The article describes an object field of ovarian tumor. An attribute space is divided into four groups: risk factors, clinical attributes, laboratory-obtained data, and instrumentally obtained data. A systematic analysis of a medical officer diagnosing an ovarian tumor is conducted by three types: benign, borderline, and malignant tumor. A score of an early ovarian tumor development is calculated using the Kulbac rule, and an attribute space is reduced.

The article examines use of artificial neural networks for forecasting of technological parameters of oil development. Artificial neural networks based on the long short-term memory architecture and gated recurrent units are used to solve the problem. The findings of neural network forecasting prove the effi-cacy of recurrent neural networks, especially the long short-term memory one, for forecasting of time series.

The article examines a computer model of a quasidiscrete group pursuit game with pursuers and defenders, whose aim is to reach static targets. Several pursuers may reach one target at different time periods. In order to win, at least one pursuer must reach the target, while defenders must eliminate all pursuers
to succeed. A model has a unified environment that detects the pursuer as soon as he crosses it. One defender is assigned to the detected pursuer by several optimization criteria.