Search

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.

One of the most critical elements in the international health system is blood donation. Unfortunately, several countries, mostly low-income, and middle-income countries have limited blood transfusion capacity. Less than 25% of the national blood supply is obtained from voluntary unpaid blood donors in 40 countries, and for that reason, the goal of the WHO for all countries is to obtain all blood supplies from voluntary unpaid blood donors. Since WHO needs to permanently increase and improve national blood services, it is necessary to implement the policies for more widely available blood for the patient. To minimize hemolysis and averaging the temperature field indicators over the entire volume of the blood bag, the above-described devices must implement mixing of whole blood smoothly and without jerks. Stirring in blood service apparatus is developed by using electric drives controlled by an electromechanical system, designed to convert electrical energy into mechanical energy. This article contains information about an electric drive control system based on a reversible motor driver. The results will be utilized for further modernization and development of new transfusion therapy devices using current LLC Leadcore production.

In this paper, we discuss accelerometry: an approach to human activity recognition and functional state assessment based on the usage of inertial sensors. Our discussion summarizes the pivotal aspects of accelerometric research, intending to provide an overview for the beginner practitioners in the field. Covered topics include signal processing techniques and machine learning algorithms, as well as general pointers to relevant literature.

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.

To date, electrophysiological research (EPR) remains an important source of objective assessment of the visual analyzer functional state. The ability to exclude the EPR subject subjectivity is no doubt an attractive advantage of EPR. In particular, an essential advantage is the functional topographic assessment of the malfunction of the visual analyzer systems. Localized electrophysiology of the vision organ is submitted by a variety of methods for recording the biomedical signals. High complexity and many confounder factors during signal receiving may be complicated by the final result analyzing given by ranging from stimulation parameters to the state of the patient himself. Differential diagnosis, preclinical toxicology, and scientific and experimental models are the main emphasis of EPR. Potential prospects of EPR provide new opportunities for effective implementation of multifocal electroretinography. Classical EPR does not provide detailed and quantitative information about the state of the visual analyzer. This implies the need to optimize and algorithmize assessment data of ophthalmic pathology, even more than before, environmental concerns differentiated criteria inherent into a particular ocular pathology. This article presents literature review of electrophysiological methods in ophthalmology and the processing of electroretinograms using wavelet transform. To efficient processing of electroretinograms, it is necessary to separate the high-frequency and low-frequency components from the experimental signal. The low-frequency component is an oscillatory response or oscillatory potentials generated by the cells of the inner layers of the retina. This article notes the need to vary the basis functions of the wavelet transform and the methods of time-frequency analysis based on the results of electroretinograms processing.

Photoplethysmogram is an image of blood flow changes in the human body. It isn’t a simple shape signal rather it has at least six principle parameters form who derivate another useful. In the last decade, the PPG was exploited in order to extract more useful information about physiologic parameters. The current paper will focus on the blood flow velocity where this feature has a major implication in the blood mixer device. It needs to constantly monitor the transfused blood volume with the most accurate level. In transfusiological practice, special attention is paid to the accuracy of donation. The accuracy of donation means the correlation of a given volume and the resulting volume of the blood bag. Therefore, implementing the PPG principle to this device it can offer a good advantage at measuring the blood flow. This article is part of the work devoted to the modernization and development of new equipment for transfusion therapy based on LLC Lidkor production.

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.

In existing systems for blood donation, flow rate estimation is implemented using various force sensors. However, in the event of the inoperability of the force sensor, the mass of the blood packet may be greater or less than a predetermined volume. This fact leads to the improper storage of blood and its components, which means that blood products can be spoiled. Thus, it is necessary to develop duplicate systems to control blood flow velocity. This article presents a PPG-based blood flow rate estimation method. Photoplethymogram, known as abbreviated PPG, is an image of blood flow changes in the human body. It isn’t a simple shape signal rather it has at least six principle parameters form who derivate another useful. In the last decade, the PPG was exploited in order to extract more useful information about physiologic parameters. The article discusses possible options for the passage of blood flow through the tube, as well as modeling the real process of donation. This article is part of the work devoted to the modernization and development of new equipment for transfusion therapy based on LLC Lidkor production.

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 article describes possibilities of multifractal analysis application to evaluate the short-term signals of brain microwave radiation recorded by the Radiophysical complex MRTHR for a group of psychologically healthy patients. Limitations of the multifractal fluctuation analysis method for evaluation of the fluctuation processes of brain regulation are considered. For this purpose, time series of two channels of microwave radiation of the parietal areas of human brain were processed. The results define the limits of applicability of the multifractal detrended fluctuation analysis (MFDFA) method by the time window from 10 to 70 s and correspond to the two independent areas of periods of fluctuations of brain microwave radiation with different physiological nature that were justified by other methods. The obtained estimations prove the multifractal nature of the brain microwave radiation signals. These findings suggest that diagnostic possibilities of the modernized Radiophysical complex MRTHR can be increased with the usage of the multifractal analysis to functional studies of the microwave radiation signals of the brain.

In the article, the characteristics of antenna-applicators (AA) for the contact microwave radiometers are analyzed. The bow-tie AA (in which the near-field and transition regions better match with the feeder in a wide frequency band) is preferred for monitoring the brain microwave radiation. Modelling these bow-tie AA with contact pins was conducted. The simulation results have confirmed that the increase in length of the pins up to 5 mm reduces the characteristic impedance similar to that of flat AA. Meanwhile, increased thickness of the vibrator does not degrade receiving properties of the AA. The modelling results are confirmed by laboratory studies that have examined the characteristics of the bow-tie AA with pins and flat AA without pins. It is shown that the introduction of designed AA with pins significantly reduced the impact of hair on the matching of the AA and body. In the study of changes in the characteristics of AA for 30 min, the change rate matching such antennas with the brain tissue changes by less than two times compared with that matching AA without pins.

In this paper, we review the state of biofeedback methodology 50 years after its inception, with the objective to facilitate well-informed, scientific discourses around the topic. The scope of our review is limited to quantitative analysis of body of work published over the last decade, from which it is evident that biofeedback experiences a major methodological shift - away from strictly confined medical and research facilities, and towards personal, consumer-level use, thanks to wireless gadgets, wearables and smart devices available en masse. With such change come new opportunities and challenges, in the form of technological aspects, such as data processing trade-offs, efficiency of sensor placement, modalities and architectures, as well as general effectiveness of biofeedback in novel application areas, surrounded by privacy concerns and implications of e-health mobile technologies, which already available, but not yet ready for the prime-time. It is our intent to reflect on this liminal state of affairs.

Student trajectory - the main stages of training related to the choice: from admission to deduction. Student expulsion can be caused by various reasons. The main reasons are expulsion due to graduation from the university and academic failure. There are works that use various data to predict student expulsion: Demographic, Academic, Social and Behavioural in social networks. The peculiarity of this study is the use of data on the choice of a student in the formation of his individual trajectory. In paper the data model of the student and use-cases of the information system for students track prediction were considered. Impersonal data of 5000 bachelors from Ural Federal University formed a features space, including data on education, data on student track formation behavior and data on the social context. A model for predicting the trajectory of a student was developed. The proposed system can be adapted to the processing of data to form a competence portrait of student. On basic level, the system can be used to predict probability of a student being expelled from a University

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 article discusses capabilities of a modified MRTRS-40 radiophysical complex for co_processing of heart rate variability (HRV) signals and intrinsic electromagnetic radiation of the brain. It is shown that the use of multifractal analysis for aggregate functional studies of HRV and intrinsic electromagnetic radiation of the brain enables estimation of the similarity of the following processes: − activity of the sympathetic division of the autonomic nervous system with periods of fluctuations in the range 6.5-25 s and fluid transport dynamics in the intercellular and intracellular spaces of brain tissues with periods of fluctuations ranging from 20 to 40 s; − activity of central ergotropic and humoral-metabolic mechanisms of heart rate regulation, defined as very low frequency oscillations of HRV in the range from 25 to 300 s, and processes of thermodynamic regulation in the brain tissues with periods of fluctuations in the range 50–70 s. If a systematic discrepancy of these estimates cannot be considered insignificant, then a situation is characterized in which the role of autonomic regulation is reduced in brain functional processes.

In this research, we hypothesize that head-mounted accelerometric sensors can be effectively utilized in the tasks of motion activity classification and balance control evaluation, on a par with conventional methods based on stabilometric platforms. Following this hypothesis, we carried out a series of short experiments with stabilometric system "Stabilan-01-2" and consumer-grade tri-axial accelerometer. Collected motion signals were batch-processed and passed through feature extraction pipeline. After that, characteristic spaces were formed and classified using statistical machine learning methods. Results of the classification indicated that feature space of accelerometric data is informative enough to accurately classify motion activity associated with balance control, thus confirming our initial hypothesis. These results demonstrate that accelerometers can be used as a low-costly and portable alternative to stabilometric systems, and suggest a promising and novel approach to balance control assessment. © 2019 Author(s).

This paper discusses the possibility of development and testing a special methodology for the formation of a dynamic competence space. The main object of study is a student. The proposed methodology can take into account the risks of an erroneous assessment of the competences of an object, and it is also quickly adaptable and scalable. This paper presents a synthesis of methodology. Seven hypothetical ways of assessing and constructing skills space are considered.

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.

The estimation in real time of the functional and mental state level for the athlete during the loads is essential for management of the training process. New multimodal metric, obtained by means of the brain-computer interface (BCI), is proposed. The paper discusses the results of the joint usage of data from Emotiv EPOC+ mobile wireless headset. It includes motion sensors (accelerometer) and EEG channels. The features of the Emotiv EPOC+ interface allow to record the deviation of the head from the body axis, which provides an additional channel of information about the physical and mental (psycho-emotional) state of the athlete. Based on this data a new multimodal metric is calculated. Approbation of the metric was performed for functional stress studies on group of 10 volunteer subjects, including evaluations of the TOVA-test and the hyperventilation load. The joint application of different signals modalities allows to obtain estimates level of attention for these functional studies.

In this study, organizational principles of the radiophysical complex are proposed for simultaneous measurements of the brightness temperature fluctuations of the human brain and parameters of the autonomic nervous system. A new structure of the medical microwave radiothermograph is suggested based on the parametric compensation of losses in the circuit elements of the thermobalance. The aim of this article is to justify the structural organization of the radiophysical complex for the recording and joint real-time analysis of processes of the microwave radiation formation in the brain tissue and characteristics of the autonomic nervous system. Description of the radiophysical complex MRTHR with realization of these principles is presented. The peculiarity of the proposed radiophysical complex is in passive elements that do not contain electronic nodes and blocks and are inside the shielded cabin. In order to increase the accuracy of the brightness temperature of the deep brain structures measurement in the radiophysical complex a new structure is implemented. This structure of the medical microwave radiothermograph is based on the parametric compensation of losses in the circuit elements of the thermobalance.

In the paper possibilities of functional research complex for mental status evaluation are shown. The complex consists of neuroheadset Emotiv Epoc+, including 14 channel wireless EEG-system with accelerometer, and ECG-recorder for acquisition of the heart rate variability signals (HRV). The record of biomedical signals was obtained in several functional states for 10 healthy subjects: Background (functional rest), TOVA-test (mental load), Hyperventilation (physical load) and Aftereffect (after test state). It was found that the power of the very low-frequency component of the HRV spectrum was significantly changed, which is caused by infiuence of the suprasegmentally regulation level on the heart rhythm. Also, the decrease in the control effect of the cerebral cortex (α-rhythm activity) is registered. At the same time, the amplitude of the average accelerometer values increases as result of uncontrolled movements in order to find the most stable position of the head relative to the gravitational vector.

The paper presents the results of dependency assessments of the spectral and multifractal analysis of the brain microwave radiation signals. Twenty neurology healthy volunteers participated in study. The biomedical signals formed by the dual-channel microwave radiometer. The research method used a machine-learning algorithm that allows predicting relation between the spectral power and the Hurst exponent. Compare the distribution of possible functions with data obtained from different channels were present. The results obtained allowed to demonstrate the absence interrelation between spectral and multifractal estimates of the brain microwave radiation signals.

In paper discusses study spectral characteristics fluctuations of the brain microwave radiation for estimation changes the metabolic production in the brain tissues. Computer simulation of this problem showed that frequency band ranging from 650 to 850 MHz is optimal. The results based on the analysis phenomenological models of the brain tissues radiation and thermodynamic processes in it, and, also, on the experimental data obtained with the measuring system the Radiophysical complex. The fluctuation of the brain microwave radiation in the frequency band from 0.02 Hz to 0.013 Hz characterized mainly liquid circulation in the intercellular and intracellular spaces of the brain tissue. In the frequency band below 0.013 Hz, these fluctuations defined mainly by thermodynamic changes in the tissues.

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 paper discusses the possibility of applying multifractal cross-correlation analysis method for the joint processing of transient biomedical signals received via the Radiophysical complex MRTHR (Medical Radio-Thermograph - Heart Rate) for rehabilitations estimations. The results of the multifractal cross-correlation analysis application are shown for research the role of the autonomic regulation in the formation of the brain microwave radiation (intrinsic electromagnetic radiation of the brain) in the treatment process. A pilot clinical study obtained by the multichannel Radiophysical complex MRTHR had shown the dynamics discrepancies of cross-correlation Hurst exponent coincides with the clinical data for patients after passing through the course of rehabilitation using techniques of the dynamic correction activity of the sympathetic nervous system. Copyright © 2017 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 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