The article illustrates the prospects of using the hydrocuff technology of oscillations formation for evaluating hemodynamic parameters. An approach to improving the parameters accuracy estimation by increasing the oscillations amplitude and subsequent nonlinear SVD – filtering of the obtained blood pressure compression waveform based on singular spectral analysis is presented.
The modern level of development of systems of measurement, processing and data transmission promote creation of optical multiple parameter medical diagnostic systems. One of intensively developed directions is creation of fiber-optical diagnostic systems on the basis of fiber optic sensors. Fiber optic sensors are characterized by high sensitivity to mechanical oscillations of a surface of a body of the patient under power influence of a blood flow. This property creates premises for design miniature, steady against noises, safe sensors of micromovements. Their fixing on a body of the patient allows to reveal a number of the vital parameters characterizing normal and critical condition of the patient. Results of a research of fiber optic sensors of pressure on the basis of standard single-mode optical SMF-28 fiber are presented in article. The principle of operation of sensors consists in use of physical properties of the fiber - the impact which had in some pressure point on throughput characteristic. The purpose of the real work is the research of a possibility of use of fiber optic sensors of the tunnel, flexural and microflexural types on Bragg’s grid for control of a pulse wave providing more exact determination of parameters of a pulse wave. The offered monitoring systems of a status of patients on the basis of fiber optic sensors in medicine are very perspective.
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.
The article discusses the application of intelligent neural networks for the diagnosis of diseases. The use of a neural network for the diagnosis of cardiovascular diseases is justified. The advantages and disadvantages of existing methods for analyzing the pulse wave circuit are considered. The increase in the accuracy of calculating the critical points of the pulse wave is justified. To increase the accuracy, a hydro-cuff technology has been proposed, which can significantly increase the amplitude of oscillations caused by pulsation of arteries. A neural network has been developed to detect the characteristic points of pulse signals recorded using hydro-cuff technology. Setting the coefficients of neural network cascade-correlation is performed using iterative Kachmazh’s algorithm. Signal processing was performed in the MatlabR2017b environment.
The paper considers authentication methods, including biometric. The advantages, disadvantages and limitations of the known authentication methods are considered, and for the first time it is proposed to use hydrocuff pulse wave technology for biometric identification. A parameters set characterizing the pulse wave contour and its derivatives is defined. As the pulse wave mathematical processing result, a multiparametric feature space is formed. The paper considers the main problems that arise when collecting source data. To solve legal and ethical issues, as well as reduce the cost of forming a database, the possibility of applying algorithms for generating synthetic biometric images has been proved. Synthetic biometric images are designed to use neural network technologies for identification and authentication based on the large databases analysis.
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