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Synthesis of Physiotherapeutic Parameters of Devices for Post-medical Restoration of Spinal Zones

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Advances in Intelligent Systems and Computing V (CSIT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1293))

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Abstract

The conditions of phototherapy what are based on physical model of electron detachment was consider as a reasons of activation of rehabilitation process. It was shown that effectiveness of procedures of treatment depends from values of parameters and their time synchronization. The formation of coherent system of influences as a scientific basis and purpose to increase the effectiveness of their action is considered as important area of research and development of modern devices for treatment of diseases and post-treatment recovery of spinal tone. The method of description of processes in electric circuit as nonlinear differential equation is considered. It approximate solution for current dependent inductance, capacity and active resistance is obtained. The rate of growth of external voltage required for receiving maximum of current at determined moment of time was sinteze. The energy loss in the form of Joule-Lenz heat on the active resistance during the period of the pulse is determined. It`s analytic form of solution is shows that current is proportional to capacitance and resistance value and inversely proportional to the inductance. The influence of inductance on the resulting magnetic field strength and parameters of the law of voltage drop of the electric drive in analytic form are obtained. The parameters of the signal as function of wavelength for irradiation are received. Approximate solutions of nonlinear equation and estimations of its error are given by two methods: recurrent approximation and binominal of Newton theorem. Results of numerical and physical modeling are introduced and discussed.

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Trunov, A. (2021). Synthesis of Physiotherapeutic Parameters of Devices for Post-medical Restoration of Spinal Zones. In: Shakhovska, N., Medykovskyy, M.O. (eds) Advances in Intelligent Systems and Computing V. CSIT 2020. Advances in Intelligent Systems and Computing, vol 1293. Springer, Cham. https://doi.org/10.1007/978-3-030-63270-0_59

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