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Nowadays, development of Internet of things (IoT), sensor networks, cyberspace has expanded to a smart learning environment. IoT provides new opportunities for Health Care. In the paper, we focus on diagnostics of diseases based on database with support of the IoT tools. Firstly, a mathematical database analysis technique that transforms a client request into an equivalent response of network with...
Symbolic dynamics of electrocardiograms (ECG) carries the information about functioning of various human body systems. A method for distinguishing the men with low hemoglobin value from the men with normal hemoglobin value by analyzing the symbolic dynamics of the heart rate variability was proposed in the research. The method has got an acceptable sensitivity (0.67–0.80) and specificity (0.80–1.00)...
An approach for glucose meters was improved. We process electrocardiograms of patients to detect change of glucose concentration in the blood. The technique uses discrete wavelet transform for electrocardiograms processing. Standard oral glucose tolerance test used to check fifty six patients complains of type 2 diabetes symptoms. The square of the Matthews correlation coefficient 0.93 has been achieved...
A method to predict denoising efficiency of filters based on discrete cosine transform (DCT) for multichannel images is proposed. Multichannel (3D) standard DCT-based filter and C-BM3D are considered with application to suppression of additive white Gaussian Noise (AWGN) in RGB-color images. PSNR and PSNR-HMA metrics are exploited to assess quality of images before and after filtering. The proposed...
A method for detection of twofold or greater change in the concentration of glucose in the blood of patients suffering from type 2 diabetes by means of the analysis of their electrocardiograms is proposed. The method is based on a tenth order linear prediction filter. The square of the Matthew's correlation coefficient 0.91 has been achieved during the examination of 21 patients by means of the standard...
There are both the one-to-many and many-to-one types of linear-feedback shift registers. In this paper we filled the gap between them. Our linear-feedback shift register has many-to-many configuration. It generates the Galois field different from finite field formed Galois linear-feedback shift register. We consider inference for appropriate primitive polynomial. Our principle can be implemented very...
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