In this work, possible options for constructing optical systems for analysing the dynamic signals of objects characteristic of the conditions of material processing are proposed. A feature of such systems is the use for automated process equipment. Thus, the use of analysers based on acousto-optical processes, as well as on the basis of fiber Bragg elements, has been proposed. The paper presents the main analytical dependencies for determining the current state of the object. Also, graphical dependences of the experimental results of the study using an acousto-optic system are shown, which show possible changes in the state of objects as a result of their operation.
KEYWORDS: Interference (communication), Signal processing, Fractal analysis, Digital signal processing, Statistical analysis, Heart, Data modeling, Analytical research, Telecommunications, Diagnostics
The article explores the possibility of applying modifications to the R/S- analysis method for pulsogram processing under conditions where the noise level is unknown. It is shown that a fast algorithm for calculating the Hirst coefficient can be used to estimate the noise level in a pulse signal. The R/S-analysis method for pulsogram processing has been improved by optimizing the initial conditions, which makes it possible to select the required pulse wave registration interval.
The article describes the foundations of using method of using laser Doppler flowmetry in evaluation of the state of blood microcirculation system in students, future software engineers. By the method of laser Doppler flowmetry (LDF) individually-typological features of indicators of tissue blood flow in conventionally healthy adolescent students aged 17-20 years have been studied. Due to the results of research 3 types of LDF-grams have been defined: aperiodic, monotonous low amplitude, sinusoidal type with high perfusion. Among the examined students, future engineersprogrammers different frequency of appearing microcirculatory types with predominance of normoemic type with characteristic “aperiodic” LDF-gram has been found.
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