MATHEMATICAL MODEL TO ASSESS THE INFLUENCE OF ELECTROMAGNETIC FIELDS ON THE EMERGENCE AND DEVELOPMENT OF OCCUPATIONAL DISEASES IN THE ELECTRICITY SECTOR
M. A. Myasoedova, N. A. Korenevskiy, L. V. Starodubtseva,
M. V. Pisarev
The aim of the study is to develop mathematical models for assessing the impact of electromagnetic fields of different modality and intensity on the human body providing a solution to the problems of assessing the health of people employed in the electric power industry with acceptable accuracy for medical practice.The technology of soft computing and, in particular, is chosen as the basic mathematical apparatus, the methodology of synthesis of hybrid fuzzy decision models developed in the South-West state University has proven itself in the synthesis of mathematical models of forecasting, early and differential diagnosis of diseases with a similar structure of the studied classes of States. As an example, a mathematical model for predicting the appearance and development of immune system diseases in employees of electric power enterprises of the Kursk region is described. Fuzzy mathematical models use membership functions with basic variables that take into account the intensity of the electromagnetic field of industrial frequency, work experience in the power industry and individual risk factors that provoke the appearance and development of diseases of the nervous system. In the course of mathematical modeling and expert evaluation it was shown that the use of the chosen methodology of synthesis of hybrid fuzzy mathematical models allowed to obtain a mathematical model of forecasting and development of diseases of the immune system in employees of the electric power complex with confidence exceeding 0.9.
Keywords: :mathematical model, fuzzy logic, occupational diseases, immune system, power engineering, forecasting
INFORMATION TRAINING SYSTEM FOR DISTANCE LEARNING THE METHODOLOGY FOR CARRYING OUT A MICRONUCLEAR TEST IN A HUMAN BUCKLE EPITELIUM
V.N. Kalaev, M.S. Nechaeva, A.Y. Vasilyeva, I.Y. Vasilyev,
A.P. Preobrazhenskiy, I.Y. Lvovich
Informational training system contains visual, generalized, structured material on micronuclear analysis of human buccal epithelium cells: the history of the development of method, methodology, description of objects of analysis, photos of nuclear anomalies, list of factors affecting the genetic apparatus, materials for interactive assessment of learning outcomes. The informational training system allows to the researcher to quickly and visually get acquainted with the methodology of the micronucleus test, learn how to analyze microscopic preparations, find and correctly determine the anomalies of the nucleus of epithelial cells, carry out statistical processing of the results obtained and at the end of mastering the technique to evaluate the skills obtained through interactive testing. This information system summarizes the results of Russian and international studies on the assessment of the genetic homeostasis of the human organism using micronucleus test in the buccal epithelium, thereby contributing to the development of a standardized methodology and unifying approaches to describing the results of experiments to avoid incorrect interpretation of the data. The information system presents training video demonstrating the collection of material, preparation of micropreparations, basic equipment and reagents used in the performance of micronuclear analysis. The information system promotes the introduction of the micronucleus test in the human buccal epithelium as a routine procedure in clinical practice, monitoring of the environment, assessment of occupational risks, and allows for the development of measures to assess human genetic safety.
Keywords: :database, micronucleus test, human buccal epithelium, anomalies of the nucleus, epithelial cells of the oral cavity
EXPERT EVALUATION AND OPTIMIZATION MODELING OF CONTROL AND OVERSIGHT ACTIVITY ON ENSURING THE QUALITY OF DRUGS
I.V. Safonov, Y.E. Lvovich
Ensuring the quality of medicines is currently one of the most important provisions of the state health policy. To reduce the risk of receipt of substandard and counterfeit medicines to the population, it is necessary to optimize the functioning of the current system of control and supervision activities aimed at the optimal use of available resources under specified conditions and restrictions. The main form of control and supervisory activities are inspections of objects of circulation of medicines or objects of control. To ensure an optimal plan for the audit, an optimization model is proposed that minimizes the number of objects included in the inspection plan, taking into account the limitation on planned costs and the necessary frequency of inspection of producers at risk. At the same time, the maximum number of tested drugs should be provided during the inspection of each object. A model refers to the problems of the multialternative optimization. A two-step procedure is proposed to solve this problem. A typical problem of discrete programming is solved – the problem of minimal coverage. When searching for the number of dominant solutions to the problem, basic variational procedures are used to obtain several solutions. To select the best option, it is proposed to use expert evaluation procedures. The developed optimization model is aimed at wide application in the work of the regional Department of Roszdravnadzor of the Voronezh region.
Keywords: expert evaluation,optimization modeling, the problem of minimum coverage, control and supervisory activities, drugs.
FORECESSION ELECTROMYOGRAPHY RECOGNITION AND GESTURES SELECTION FOR PROTESIS CONTROL
UDC 612.743, 612.817.2
R.Y. Budko, N.N. Chernov, N.A. Budko, A.Y. Budko
The relevance of this study is due to one of the main problems existing today in the field of building man-machine interfaces – is the creation of an effective management system that interacts directly with the user and external devices replacing functions (prostheses, wheelchairs, etc.). In this regard, this work is devoted to the study of the possibility of using physiological gestures from the daily life of a person to control the prosthesis with the safety of the forearm for at least one third. The leading approach to the study of this problem is the use of methods of statistical processing of experimental data, digital signal processing, machine learning algorithms and pattern recognition. This approach allows a comprehensive study of the electromyogram (EMG) of the forearm when making voluntary movements at different levels of the implementation of the myo-control system. The article presents the results of the EMG study recorded for 11 arbitrary movements from a group of subjects, describes the procedure for pre-processing the EMG and identifying characteristic features for signal recognition, discloses a method for classifying movements using an artificial neural network based on radial basic functions (RBF). Eight of the most suitable for classification movements were identified and ranked according to the classification accuracy: relaxation (like zero movement), hand opening, fist, hand flexion, hand supination, hand extension, hand pronation, pinch. The materials of the article are of practical value for building systems based on the human-machine interface, as well as for classification tasks in electrophysiology applications.
Keywords: :electromyogram, prosthesis, biocontrol, human-machine interface, machine learning, artificial neural networks.
FUZZY MODELS OF THE ESTIMATION OF THE LEVEL OF ERGONOMICS OF TECHNICAL SYSTEMS AND ITS EFFECTS ON THE STATE OF HEALTH OF A HUMAN OPERATOR TAKING INTO ACCOUNT THE FUNCTIONAL RESERVE OF THE BODY
N.A.Korenevskiy, S.N.Rodionova, T.N.Govorukhina, M.A.Myasoedova
The paper studies the impact of the ergonomics of technical systems on the emergence and development of occupational diseases of a human operator, taking into account the functional reserve of his body. In view of the complexity of the analytical description of the interaction mechanisms of the human-technical system, a methodology for the synthesis of hybrid fuzzy decision rules, focused on solving poorly formalizable problems, was chosen as the mathematical apparatus of research. In the framework of the chosen methodology, the individual estimates of the ergonomic level by basic indicators are averaged by the functions of the ergonomic level, which are aggregated into final decision rules. Evaluation of the impact of ergonomic level and other significant risk factors is carried out using the appropriate membership functions, which are aggregated into fuzzy models of forecasting and early diagnosis of occupational diseases. Using the example of diseases of the nervous system in drivers of Russian-made tractors, it has been shown that the simultaneous consideration of ergonomic risk factors and the size of the functional reserve with other significant endogenous and exogenous factors helps to improve the quality of decisions made about the health status of the human body. At the same time, confidence in the correctness of the prognosis and early diagnosis exceeds 0.86, which allows us to recommend the resulting decision-making models in the practice of occupational physicians.
Keywords: : ergonomics, functional reserve, health status, membership functions, fuzzy logic, prediction, early diagnosis.
A MATHEMATICAL MODEL OF THE ASSESSMENT OF THE SEVERITY OF GENITAL HERPES ON THE BASIS OF FUZZY LOGIC
M.I. Lukashov, E.V Pismennaya, O.Y. Olisova, L.V. Starodubtseva, L.V. Shulga
The work is devoted to the urgent problem of improving the quality of medical care for the population suffering from genital herpes due to the timely and qualitative assessment of the severity of the disease under study. In the course of the research, a fuzzy mathematical model was obtained, which allows to distinguish four classes of patient’s conditions: patients with clinically undetectable genital herpes; patients with detected traces of herpes; patients with detected herpes; patients with clinically observed herpes. The methodology used in the synthesis of hybrid fuzzy decision rules allows to reliably separate the selected classes of States in the conditions of incomplete and fuzzy representation of the original data with a strongly overlapping structure of classes. The chosen classification system allows to rationalize the choice of treatment regimens depending on the individual condition of patients. As a result of the research it was found that the use of fuzzy logic of decision-making, can improve the quality of decision-making, according to the stages of disease by 10,…, 15% and reduce the duration of treatment by 5,…10%, which allows us to recommend the results for use in medical practice.
Keywords: : mathematical model, genital herpes, fuzzy logic of decision – making, laboratory indicators.
ANALYSIS OF THE IMPORTANCE OF SURVIVAL PREDICTORS AFTER MYOCARDIAL INFARCTION USING THE CAPLAN-MEIER METHOD
I.L. Kashirina, M.A. Firyulina, E.Y. Gafanovich
This article analyzes the nature of the influence of some factors on the survival rate of patients after myocardial infarction (MI). This study is necessary for the subsequent development of algorithms for predicting the risk of mortality from myocardial infarction, as well as planning treatment and preventive measures. Cardiovascular diseases make the largest contribution to the mortality rate of the population, they account for about 33% of the total number of deaths. After analyzing the nature of the influence of some factors, it is possible to draw conclusions that contribute to the reduction of these mortality indicators. The analysis was carried out by the Kaplan-Meier method using the STATISTICA 12 software package, module “Survival Analysis”. For the analysis, a non-personalized sample of patients admitted to hospitals in the Voronezh Region diagnosed with MI in 2015–2017, was supplemented with information on registered deaths after discharge of patients. The study showed that the greatest risk of death in the first five days after the onset of myocardial infarction. At the same time, 20-day survival is observed in 86% of patients undergoing MI. The analysis showed that the history of the disease arterial hypertension does not affect mortality in myocardial infarction. Gender of the patient is also not important. The effect of thrombolytic therapy is controversial (does not affect or worsens the prognosis of survival).
Keywords: : dispersion, concentration, pollutants, numerical solution of equations, one-and two-dimensional problems.
OPTIMIZATION OF SCHEMES OF MEDICAL AND RECREATIONAL ACTIVITIES FOR CHRONIC OBLITERATING DISEASES OF ARTERIES OF THE LOWER EXTREMITIES USING THE THEORY OF MEASUREMENT OF LATENT VARIABLES
A.V.Bykov , N.A.Korenevsky , A.I.Kolesnik, T.N.Govorukhina
The aim of the proposed study is to increase the effectiveness of medical treatment activities of patients with chronic obliterating diseases of the arteries of the lower limbs, including their malignant development – critical ischemia of the lower limbs, due to the use of adequate mathematical methods. As an adequate mathematical apparatus, the theory of measuring latent variables with the G.Rush model is chosen, with the help of which hidden connections are established between known variables (indicator variables) and a variable that does not have an explicit analytic connection with indicator variables, but in relation to which, at a conceptual level, it is known , that such a connection can exist. This variable is called hidden or latent. From the point of view of the choice of the optimal schemes of medical and recreational activities, specific drugs, their dosage, rates and methods of administration, etc. serve as indicator variables, and the effectiveness of treatment as a latent variable. The evaluation of the effectiveness of medical and recreational activities selected at the expert level is provided by the interactive package RUMM 2020, which implements the model of G. Rush, which processes the initial statistical information that was formed during five years when observed by 400 patients of the Kursk Regional Clinical Hospital suffering from different stages of the HOZANK and receiving various treatment regimens. The effectiveness of the treatment measures was controlled by the change in the intensity of the pain syndrome in the lower limbs according to the author’s questionnaire.Using the RUMM 2020 package, it was found that, as effective drugs in the treatment of chronic obliterating diseases, it is advisable to use a combination of such drugs as alprostan, vesel-duf, fractiparin, actovegin, 6% reforming, pradax and ethoxidol. In the online mode of experts with the RUMM 2020 package for these drugs, the treatment regimens were refined and it was shown that the intensity of the pain syndrome, the effectiveness of treatment for newly received treatment regimens is increased by an average of 75%, which allows them to be recommended to the medical practice of vascular surgeons and angiologists.
Keywords: : chronic obliterating diseases of lower limbs, theory of latent variables measurement, optimal treatment regimens.
NEURAL NETWORK MODELING OF THE PROCESS OF SELECTING A PATTERN FOR THE TREATMENT OF PATIENTS WITH CHRONIC PYELONEPHRITIS AND UROLITHIASIS
K.O. Levenkov, E.N. Korovin, E.I. Novikova
The article deals with the basic aspects of designing a neural network model for choosing a treatment regimen for chronic pyelonephritis and urolithiasis. One of the most common non-specific chronic kidney diseases is a chronic pyelonephritis. Currently, mathematical modeling of biological systems is one of the main directions of mathematical methods in medical practice. The paper demonstrates network operation. The construction of a multilayer perceptron was carried out on the basis of the Neural Networks module in the Statistica program. The resulting neural network model has 5 outputs, each of which is identical to the types of treatment present in the training set. The developed model provides an opportunity to choose one of 5 types of treatment: Y1 – conservative therapy with antibacterial, antispasmodic and anti-inflammatory drugs in combination with physiotherapeutic procedures; Y2 – conservative therapy in combination with surgical treatment in the amount of contact lithotripsy (KLT); Y3 – conservative therapy in combination with surgical treatment in the volume of distant lithotripsy (DLT); Y4 – conservative therapy in combination with surgical treatment in the amount of percutaneous nephrolitholapaxy (PNLT); Y5 is an open surgery and conservative treatment. The developed model makes it possible to choose one of 5 types of treatment. The reliability of this model was 94%.
Keywords: : neural network modeling, chronic pyelonephritis, urolithiasis, multilayer perceptron, neuron, test set, pattern recognition system.