The authors present a comprehensive test procedure for digital devices, based on the calculation and control of two or more characteristics of a binary signal at a control point. The procedure is aimed at how to increase the reliability of performance monitoring and localization of the failure of digital devices as part of automated versatile systems.

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This article considers the possibility for application of the automated medical system at power engineering enterprises, ensuring monitoring the physiological state of personnel of enterprises. The considered complex includes separate functional units with new technical characteristics, providing high accuracy of the recorded physiological parameters of the surveyed workers before working shift and, consequently, reliability of health monitoring.

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The task to develop a mechanism for predicting the hemodynamic parameters values based on non-invasive hydrocuff technology of a pulse wave signal fixation is described in this study. The advantages and disadvantages of existing methods of recording the ripple curve are noted in the published materials. This study proposes a new hydrocuff method for hemodynamic parameters and blood pressure values measuring. A block diagram of the device being developed is presented. Algorithms for processing the pulse wave contour are presented. A neural network applying necessity for the multiparametric feature space formation is substantiated. The pulse wave contours obtained using hydrocuff technology of oscillation formation for various age groups are presented. According to preliminary estimates, by the moment of the dicrotic surge formation, it is possible to judge the ratio of the heart and blood vessels work, which makes it possible to form an expanded feature space of significant parameters based on neural network classifiers. This study presents the characteristics accounted for creating a database for training a neural network.