Method of Diagnostic Parameters Analysis and Software Features

Prasol, Igor; Dovnar, Olexandr; Yeroshenko, Olha

doi:10.1109/khpiweek57572.2022.9916500

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“…Let's use the method of the learning model or the refe rence model, which belongs to the parametric methods of system identification [17,18]. In accordance with this method, the reaction of the studied system to the test impact is compared with the reaction of the model of a given species to the same impact [19,20]. The comparison error is used to adjust the parameters of the model according to the cri terion of minimizing the deviation of the response of the system and the model.…”

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Method of diagnosing some diseases of the neuro-muscular system and features of data processing in software

Prasol

Dovnar

Yeroshenko

2023

TAPR

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Electromyostimulation is a method of restorative treatment based on electrical stimulation of nerves and muscles. The electric current, which is used in electrical stimulation to obtain induced muscle contractions, is characterized by a large number of different parameters. However, not every possible option of electrical stimulation is highly effective. To solve the task of diagnosing some diseases of the neuromuscular system, it is important to organize the software by analyzing the parameters of the evoked potentials. Therefore, the object of research is the processes of skeletal muscle contraction under the influence of natural electrical pulses of the nervous system or under the influence of external electrical stimulation. The subject of research is models describing the processes in muscles during contraction and methods of data processing. In the course of the study, such research methods as mathematical modeling methods and methods of processing medical and biological data were used. The paper examines the experimental strength-duration dependence of skeletal muscle and obtained mathematical models for the normal state of the neuromuscular apparatus and different degrees of denervation. On the basis of electrodiagnosis of a patient with impaired motor functions, the dynamics of changes in the patient's condition and the effectiveness of treatment were traced. Based on the results of the study, an analysis of the parameters of the evoked potentials of the stimulation electromyogram during adaptive electrostimulation was carried out in order to control its effectiveness or establish a diagnosis in some diseases of the neuromuscular system. This made it possible to develop a method for correcting errors in the interpretation of one of the quality parameters and increase the reliability of the diagnosis. The obtained results can be used in the improvement of technical devices for electrostimulation therapy, as well as control of the effectiveness of rehabilitation procedures.

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