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 purpose of this study is to formalize the stages of diagnostic and therapeutic measures in the design of computer decision support systems in medicine. Functional, structural and mathematical models of diagnostic and treatment measures are developed with the aim of increasing the efficiency of medical services and minimizing the risks of medical errors. Analysis of diagnosed states in the space of medical actions allowed developing a method of hierarchical clustering of diagnoses in the space of medical actions and substantiating the threshold values of permissible uncertainties in the diagnostic decision rule.
The paper discusses questions of human auditory state evaluation with technical means. It considers the disadvantages of existing clinical audiometry methods and systems. It is proposed to use method for evaluating of auditory analyzer state by means of pulsometry to get the medical study more objective and efficient. It provides for use of two optoelectronic sensors located on the carotid artery and ear lobe, Using this method the biotechnical system for evaluation and stimulation of human auditory analyzer stare wad developed. Its hardware and software were substantiated. Different modes of simulation in the designed system were tested and the influence of the procedure on a patient was studied.
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