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Electroretinography (ERG) has great potential in visual health detection in early diagnosis and intervention. To date, optical coherence tomography and other diagnostic tests are mainly used. Clinically used ERG is an important diagnostic assessment for various retinal diseases, such as hereditary diseases (retinitis pigmentosa, choroideremia, cone dystrophy, etc.), diabetic retinopathies, glaucoma, macular degeneration, toxic retinopathies etc. A database of five types of adult and pediatric biomedical electroretinography signals is presented in this study. In this study, the database is focused on the Maximum 2.0 ERG Response (80 pediatric signals, 42 adult signals) protocol. The tests were performed at the IRTC Eye Microsurgery Ekaterinburg Center. In this study, the EP-1000 Multifocal computerized electrophysiology workstation manufactured by Tomey GmbH was used. The aim of this study is to describe the existing database including the classification of signals and to determine the pediatric norms of the binocular program.

ERG is a biopotential response of various retinal cells formed by visual stimulation with a bright flashlight. The retina produces an appropriate response which is depending on the visual stimulation conditions. To ensure uniform flash intensity throughout the patient's field of view, the patient's chin is placed on a special ganzfeld platform. This installation realizes the uniformity of light stimulation distribution. During the examination, the patient looks at one point indicated in the ganzfeld. Flash intensity replacements are routinely regulated by the ISCEV standard, however, this study used standard EP-1000 (Tomey GmbH) protocols. Filtering is a key part of signal analysis. In accordance with the requirements of the standard, the filtration of (ERG) signals should be implemented using a posteriori methods. The source of this recommendation is the complex waveform and the presence of frequency components of different private ranges. Thus, this study described the selection of the optimal filtering method for the Maximum 2.0 ERG Response signal based on the posteriori method. The study used the original biomedical signals of adult patients previously published on the IEEE DataPort.

Electroretinogram (ERG) is the non-invasive ocular test to assess the retinal function by measuring the photic irrational induced electrical responses of the cells in the retina, including the photoreceptors in the outer retina, inner retinal layers, and the final output neurons. Clinically used ERG is an important diagnostic assessment for various retinal diseases, such as hereditary diseases, diabetic retinopathies, glaucoma, macular degeneration, toxic retinopathies, etc. The presented ERG examination includes a series of electrophysiological tests of various types of electroretinography. The tests were performed at the IRTC Eye Microsurgery Ekaterinburg Center. In this study, the EP-1000 Multifocal computerized electrophysiology workstation manufactured by Tomey GmbH was used. This station is located in a separate isolated room and complies with ISCEV standards. Manual analysis of medical ophthalmic signals is a time-consuming process that involves operator training and skill. Analysis of ophthalmic signal data could advance much faster and be more cost-effective while reducing time and material costs through automation and optimization using signal processing and analysis methods available in the modern mathematical theory of signal processing. This paper described a Maximum 2.0 ERG Response time-frequency analysis.

ERG is a biopotential response of various retinal cells formed by visual stimulation with a bright flashlight. The retina produces an appropriate response which is depending on the visual stimulation conditions. To ensure uniform flash intensity throughout the patient's field of view, the patient's chin is placed on a special ganzfeld platform. This installation realizes the uniformity of light stimulation distribution. During the examination, the patient looks at one point indicated in the ganzfeld. Flash intensity replacements are routinely regulated by the ISCEV standard, however, this study used standard EP-1000 (Tomey GmbH) protocols. Filtering is a key part of signal analysis. In accordance with the requirements of the standard, the filtration of (ERG) signals should be implemented using posteriori methods. The source of this recommendation is the complex waveform and the presence of frequency components of different private ranges. Thus, this study described the selection of the optimal filtering method for the Maximum 2.0 ERG Response signal based on the posteriori method. The study used the original biomedical signals of adult patients previously published on the IEEE DataPort.

The physiologic parameters of the patients from a medical database can be useful to search models in health conditions. The current study used an open medical database where especially the blood pressure and diabetes are the parameters of interest. Based on this limited group of study participant it was modeled a so-called health state diagram which was tracked incidence number of an individual case. The study has searched for clearance between hypertension and diabetes and found a specific blood pressure where the two affections come together. To validate some aspects with respect to the health condition it needs some studies that required longtime monitoring of participant, therefore, the current paper leaves an open continuity. For patients with hypertension, the donation may be used as therapy. As part of the project for the modernization of medical equipment for transfusion therapy, it is necessary to develop a new series of blood mixers. In the case of donation of patients with hypertension (or diabetes), nonlinear fluctuation in blood flow velocity is possible. This leads to an incorrect collection of a bag of blood, which means spoilage of blood and its components. The results of this study will be taken into account when developing the hardware part and the software of the new series of blood mixers.

Defrosting apparatus for cryopreserved blood products must perform defrosting to a target temperature of +37 degrees Celsius under conditions of an optimally selected and fixed heating time, ensure and maintain the biological value of the substance used for transfusion. When the target temperature of the substance to be thawed is reached, the temperature deviation from +37 degrees Celsius should not exceed ± 0.5 degrees Celsius. However, the currently existing technical means have an accuracy of maintaining the temperature during the thermostating process of ± 1 degree Celsius. During developing technical means for rapid high-precision defrosting of cryopreserved blood products, it is necessary to determine the parameters of the system, such as type of blood product, heat carrier, heating technology, overall dimensions of the defrosting chamber, volumes of bags with blood products to be opened, and so on. The combinatorial approach allows one to determine the optimal parameters of the system, however, to date, there are no studies of modeling the thawing of cryopreserved blood products for transfusion-infusion therapy, taking into account the multivariance of the thawing system. Thus, in the development of technical means for rapid high-precision defrosting of cryopreserved blood products for transfusion-infusion therapy, the fundamental task is to develop a software solution for simulating defrosting systems. This article shows the review and comparative analysis of electronic test equipment for defrosting and heating plasma, blood and infusion solutions.

The electrophysiological examination in ophthalmology is a non-invasive procedure based on the recording of electrical activity outside and inside the visual analyzer. Electrophysiological (EP) examination in ophthalmology is an indispensable method for an objective assessment of the functional state of the components of the visual analyzer based on biomedical signals analysis. There are methods such as optical coherence tomography that may objectively evaluate the structural and anatomical integrity of the retina. However, this method indirectly shows the functional activity of the eye. The undoubted advantage of EP is the ability to perform a functional topographic assessment of malfunctions of all visual analyzer systems. EP examination of the vision organ is represented by a variety of methods for recording the electrobiological activity of the cells of the visual analyzer, namely electroretinography, electrooculography, visual evoked potentials, and multifocal electroretinography. It should be noted that each test is aimed at a separate part of the eye functions, therefore, several methods may be used in research works on animal models. The limitation of EP is the complexity and many confounding factors that can affect the final result, ranging from stimulation parameters to the state of the patient himself. The main field of prospective use of EP is the differential diagnosis, preclinical toxicology, and scientific and experimental models in the meantime.

In this paper design of competencies ontology for the analysis of educational programs are presented. An analytical review of papers on the subject are shown. The methodology of the process of collecting and analyzing professional and personal qualities is proposed. Processes collection, processing and analysis of data of professional and personal qualities are given. The development of a methodology for mapping the curriculum of a higher education into an ontological model are presented. Data on the requirements for a degree programmer are collected. An ontology of required competencies in this specialty is created. Example an ontology of key-skills for the profession ”Programmer” is depicted. Options for the compositions of all the qualities collected are represented. Practical implementation of the transition and the combination of research dealing with market analysis and research dealing with dynamic changes in education are described. Next, the resulting lists of professional qualities and personal qualities will be classified into generalized groups.

This article presents a comparative analysis of 5 blood mixers based on the corporation of characteristics, features of the most popular technical solutions. The described petal diagram indicates the five presented blood mixers according to the following indicators. Volume measurement accuracy during the donation of 450 grams, volume measurement accuracy during the donation of 50 grams, and agitation velocity of a blood bag. The article provides summary statistics on blood transfusions in Russia. In addition, the article formulated the development prospects of hardware solutions for blood donation taking into account the latest trends of the Russian Association of Transfusiologists, the American Association of Blood Banks (AABB) and the International Society of Blood Transfusion (ISBT). The conclusions are that for the blood mixers using in transfusion therapy for action related to donation and weighting, the key factor is the accuracy of weighing. In particular, French mixer MACOMIX DCN 7 is preferable to use in transfusion practice in comparison with the other blood mixers.

The aim of the article is to evaluate the applicability of multifractal methods to the analysis of biomedical signals. Among the known methods of multi- and monofractal formalism for the evaluation of short-term biomedical signals, the multifractal fluctuation (MFDFA) and cross-correlation (MFCCA) analysis approaches are of the greatest interest. In the article, we have evaluated the accuracy of the MFDFA and MFCCA approaches with the use of model time series of fractal Brown motion for certain Hurst exponent values. Next, model studies on stability assessment of the multifractal estimates in case of noise addition for investigation of the evaluation dependency on the different features of the modeled time series are considered. Peculiarities of application of multifractal analysis to simultaneously recorded biomedical signals are shown. Analysis of MFDFA and MFCCA approaches by the model signals have shown that such approaches can be applied to the assessment of short-term biomedical signals of the multichannel Radiophysical complex MRTHR.

This paper presents the modeling of an information system for collecting and processing data for the implementation and support of modular educational programs in the University. Features using modern educational technologies, including a personalized approach are described. The proposed system is called the “Digital Tutor” System. Use cases, functionality and service integration scheme are shown. The paper shows that this will allow informing students and receiving feedback from students about the learning conditions in the educational program.

This paper discusses the option of hardware-software integration, according to the assessment of human cognitive potential. The presented complex is based on an assessment of the integrative activity of the brain that allows one to get an idea of the current state of relations between the different areas of the brain structures (i.e., allows numerically estimate the number of structures involved in the activity). Evaluation of the integrative activity performed by a coherent analysis of the patient's EEG. The analysis is performed in real time using module coherent analysis developed in OpenVibe software.

The Brain-Computer Interface (BCI) can be used for evaluation of the state of individuals during everyday routines. As shown in previous works, there is a relationship between the BCI multimodal metric with functional states of human. We have used power of Theta, Alpha, Beta low and Beta high electroencephalography rhythms and head motion data signals for multimodal metric. Heart Rate Variability (HRV) is common medical method for functional state assessment. In this paper the results of interrelation estimation between multimodal metric and HRV are shown. We used Pearson correlation coefficient (PCC) for estimates of interrelation between multimodal metric and HRV. It was found, the best results for estimates of parasympathetic part of the autonomic nervous system and suprasegmental regulation HRV have value of PCC more then critical value for Pearson correlation. © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006.

In paper different standards for intelligent medical systems and multimodal architecture interfaces are under review. Application of Fast Healthcare Interoperability Resource (FHIR) standard for data model of intelligent multimodal interface are proposed. Intelligent multimodal interface for EEG and accelerometer bio-signals based on FHIR are shown. Use case diagrams, resource diagrams and class diagrams for production and research mode of this interface are described.

In the paper, features of the brain microwave radiation measurements are considered. Influence of the contact pins addition on the antenna matching with head surface (changes of the reflection coefficient) is studied. Estimates of human head modelling with contact antenna-applicator are presented. Results of the investigations show that fluctuations of electromagnetic field in the near-field region is defined by magnetic component and depend on functional processes in the human brain.

The principles of processing signals of Radiophysical complex MRTHR for studying the role of autonomic regulation in the formation of the brain microwave radiation during the treatment process are presented. The feature of this complex is the possibility of registration and analysing the non-stationary short-term time series of the brain microwave radiation and heart rate variability signals. The processing is implemented via the method of multifractal cross-correlation analysis. The results of the fluctuation and cross-correlation Hurst exponent estimations of these signals are shown. The estimates for a group of relatively healthy patients have low levels of systemic discrepancy. For the patients group with ischemic stroke before treatment the systematic discrepancy of estimations are significantly larger than those of healthy patients. After rehabilitation course, the discrepancy between these estimates are reduced. Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

In this paper, the results of a study on bow-tie antenna for contact noninvasive measurements of the microwave radiation from the human brain are presented. The investigation was carried out using numerical modeling (hybrid finite elements method and method of moments) by employing FEKO Suite 7.0. In this software the design of human head model was analyzed and the antenna optimization was conducted. The optimization goals are to minimize the reflection coefficient and maximize the electric field magnitude at a proper depth. The frequency dependencies of reflection coefficient and power collected from different tissues were calculated. The power density distribution was defined in the structure. It was found that the antenna, which was optimized in order to maximize electric field strength, provides better reception of energy from deep brain layers.

The features of the application of multifractal analysis to assess the interrelation of the short-term signals of microwave radiation of the human brain and heart rate variability (HRV) are described. Data are presented for periods (20, 40) s of microwave radiation signals and periods (6.5, 25) s of HRV showing low level of systematic divergence. Similar properties for periods (50, 70) s of microwave radiation signals and periods (25, 300) s of HRV are found. The results indicate the interface between microwave radiation fluctuations of the human brain and HRV signals, which represent autonomic nervous system activity.

The influence of microbends on a phase shift and attenuation in a classical Corning SMF-28 fiber and in a special microstructured single-mode fiber with a limited number of air-hole rings in the cladding has been investigated. The largest measured phase shift of 750 deg/mm was obtained for the classical fiber at displacement mag- nitude of 117 m. This corresponds to 1.310 �3 change in the effective refractive index of the fundamental LP01 mode in a microbent optical fiber section with length of 24 mm. The phase shift for the investigated microstructured fibers is in 3.9 times less. The cutoff of radiation intensity takes place at displacement magnitudes of 55 and 270 m for the mi- crostructured fiber and for the SMF-28 fiber, respectively. It is shown that the sensitivity of the microstructured fiber to the displacement magnitude is in about five times higher than that of the Corning SMF-28 fiber. © 2009