METHODS AND MEANS OF PROVIDING REHABILITATION PROCEDURES THROUGH A BIOTECHNICAL SYSTEM WITH BIOLOGICAL FEEDBACK AND A FUZZY CONTROL MODULE

В статье описана реабилитационная биотехническая система с виртуальной реальностью, позволяющая модулю нечеткого управления осуществлять биологическую обратную связь путем сопоставления стимулирующих сигналов виртуальной реальности, электроэнцефалографических сигналов и электромиосигналов. Предложена рекурсивная математическая модель планирования процедур реабилитации с использованием биологической обратной связи, основанная на понятии функций «обучения» и «забывания», позволяющая планировать сеансы тренинга и прогнозировать их результаты. Разработано аппаратное, алгоритмическое и программное обеспечение биотехничекой системы реабилитации постинсультных больных с модулем нечеткого управления экзоскелетом, позволяющее адаптировать программу реабилитации постинсультных больных с функциональным состоянием конкретного пациента. Сформирована экспериментальная группа для оценки эффективности БТС-тренинга постинсультных больных с паретичными нижними конечностями. Контрольная группа формировалась виртуально на основе статистического анализа ретроспективных стратифицированных результатов реабилитации постинсультных больных посредством биотехнической системы с робототехническим устройством без использования модуля нечеткого управления. Исследование показало, что можно изменить показатели клинического исхода у пациентов с подострым и хроническим течением инсульта после 12 сеансов БТС-тренинга. Биотехничесая система с нечетким управлением робототехническим устройством позволяет осуществлять индивидуальную стратегию реабилитации постинсультных больных (включая целенаправленную тренировку ходьбы) The article describes a biotechnical rehabilitation system with virtual reality, which allows the fuzzy control module to carry out biological feedback by comparing stimulating signals of virtual reality, electroencephalographic signals and electromyosignals. A recursive mathematical model for planning rehabilitation procedures using biofeedback is proposed, based on the concept of “learning” and “forgetting” functions, which allows planning training sessions and predicting their results. The hardware, algorithmic and software support of the biotechnical rehabilitation system for post-stroke patients with a fuzzy exoskeleton control module has been developed, which allows to adapt the rehabilitation program for post-stroke patients with the functional state of a particular patient. An experimental group was formed to assess the effectiveness of BPS training in post-stroke patients with paretic lower extremities. The control group was formed virtually on the basis of statistical analysis of retrospective stratified results of rehabilitation of post-stroke patients using a biotechnical system with a robotic device without using a fuzzy control module. The study showed that it is possible to change the indicators of clinical outcome in patients with subacute and chronic stroke after 12 sessions of BPS training. A biotechnical system with fuzzy control of a robotic device allows an individual strategy for the rehabilitation of post-stroke patients (including targeted walking training)

Development of a Subsystem for Supporting a Complex of Diagnostic Procedures for the Information-Analytical System TISP

Introduction. During the implementation of the project "Transdisciplinary Intelligent Information-Analytical System for Supporting Rehabilitation Processes in a Pandemic (TISP)", all the capabilities of the basic cognitive information technology were focused on the implementation of the strategy of rehabilitation measures, which consists in taking into account the pathogenetic features of the development of the disease. In the subsystem of information and analytical support of the complex of diagnostic procedures, the central is the assessment of the effectiveness of rehabilitation based on the indicators of the electrocardiogram (ECG) and heart rate variability (HRV), control of the patient's condition using psychophysiological (PF) and psychological testing, the use of biological feedback (BF) to improve the efficiency of rehabilitation, as well as the use of PF testing for the implementation of BF. The purpose of the article is detailing the composition and functionality of a complex of diagnostic procedures for supporting rehabilitation processes in a pandemic. Results. The composition and functionality of the complex of diagnostic procedures are presented. It includes three components: first, an innovative technique for scaling electrocardiograms and heart rate variability (Universal Scoring System) with software and a miniature electrocardiograph (with the ability to use on-line mode). Secondly, the study of psychophysiological testing tools based on the software-hardware complex "Psykholot-1" with the prospect of its addition by means of Biological Feedback (BF). Thirdly, the analysis of existing means of BF therapy and their application for rehabilitation with the proposed method of rehabilitation based on BF using artificial intelligence tools that are being developed within the framework of this project. In the future, it is planned to monitor patients undergoing rehabilitation in order to develop new rules specially adapted for assessing and monitoring the current state of patients undergoing rehabilitation, as well as the effectiveness of BF for rehabilitation. To implement the BF, the Psykholot-1 complex should be used in a trainer mode with a visual presentation of PF tests to the patient in real time. Conclusions. Hardware and software systems of biomanagement must be present at every workplace of a doctor, psychologist, coach, teacher. They can not only help in the treatment of patients, but also can change motivation, mobilize personal resources, and this is what many of us lack today. Keywords: rehabilitation, diagnosis, psychophysiological testing, electrocardiogram, heart rate variability, biological feedback.

A Methodology for Vertical Translation Between Molecular and Organismal Level in Biological Feedback Loops

Feedback loops are among the primary network motifs in living organisms, ensuring survival via homeostatic control of key metabolites and physical properties. However, from a scientific perspective, their characterization is unsatisfactory since the usual modelling methodology is incompatible with the physiological and biochemical basis of metabolic networks. Therefore, any "vertical translation", i.e. the study of the correspondence between molecular and organismal levels of causality, is difficult and in most cases impossible. As a viable solution, we demonstrate an alternative modelling platform for biological feedback loops that is based on key biochemical principles, including mass action law, enzyme kinetics, binding of mediators to transporters and receptors, and basic pharmacological properties. Subsequently, we show how this framework can be used for translating from molecular to systems-level behaviour. Basic elements of the proposed modelling platform include Michaelis-Menten kinetics defining nonlinear dependence of the output y(t) on an input signal x(t) with the Hill-Langmuir equation y(t) = G * x(t)n / (D + x(t)n), non-competitive inhibition for linking stimulatory and inhibitory inputs with y(t) = G + x1(t) / ((D + x1(t) * (1 + x2(t) / KI)) and processing structures for distribution and elimination. Depending on the structure of the feedback loop, its equifinal (steady-state) behaviour can be solved in form of polynomials, with a quadratic equation for the simplest case with one feedback loop and a Hill exponent of 1, and higher-grade polynomials for additional feedback loops and/or integer Hill exponents > 1. As a companion to the analytical solution, a flexible class library (CyberUnits) facilitates computer simulations for studying the transitional behaviour of the feedback loop. Unlike other modelling strategies in biocybernetics and systems biology, this platform allows for straightforward translation from the statistical properties of single molecules on a "microscopic" level to the behaviour of the whole feedback loop on an organismal "macroscopic" level. An example is the Michaelis constant D, which is equivalent to (k-1 + k2) / k1, where k1, k-1 and k2 denote the rate constants for the association and dissociation of the enzyme-substrate or receptor-hormone complex, respectively. From the perspective of a single molecule the rate constants represent the probability (per unit time) that the corresponding reaction will happen in the subsequent time interval. Therefore 1/k represents the mean lifetime of the complex. Very similar considerations apply to the other described constants of the feedback loop. In summary, this modelling technique renders the translation from a molecular level to a systems perspective possible. In addition to providing new insights into the physiology of biological feedback loops, it may be a valuable tool for multiple disciplines of biomedical research, including drug design, molecular genetics and investigations on the effects of endocrine disruptors.

Virtual Reality Mobile Platform for Restoring Upper Limbs Functions using Electromiography Data

The article describes a mobile virtual reality platform based on the biological feedback of electromyography for restoring the functions of the upper limbs of people affected by accidents, stroke, Parkinson's disease or who suffered as a result of military operations. The definition of the electromyography (EMG) signal is given. The effectiveness of the biological feedback method in the rehabilitation process is indicated. The problem of initial data preprocessing is considered in order to identify the informative features of the EMG signal in the time domain. The general scheme of a mobile virtual reality platform based on biological feedback is described and preliminary evidence of the platform capability in its current state is presented. The block diagram of the EMG data acquisition module is developed. Developing a training program within the framework of computer games in two-dimensional or three-dimensional space is proposed. The algorithm of the mobile virtual reality platform based on the biological feedback of electromyography is illustrated. The results of the implementation of the proposed biofeedback electromyography system are presented. The advantages of the developed system in comparison with other systems currently available are emphasized; the disadvantages of this method are identified and ways to eliminate them are proposed

Biofeedback As an Example of Modern Exercise Method Used in Cardiac Rehabilitation

Biofeedback is defined as providing feedback about changes in the patient’s physiological state, by means of stimuli other than those used by the body, usually with the use of technology. This article presents an analysis based on the surveys regarding the awareness of Polish society about biological feedback and its effectiveness in the rehabilitation of patients with cardiac problems. The study was conducted to justify the use in the therapy on people with cardiac problems. The analysis of the patients results after cardiovascular diseases was carried out during the cardiac rehabilitation in which the biofeedback was used.

Specific features of inhibition processes in junior schoolchildren with the handedness of the different type

Within the present paper, we attempted to study specific features of inhibitory control in junior schoolchildren with the handedness of the different types. assessment of inhibitory control was fulfilled with the help of the method of recurrent biological feedback. The assessment of the type of handedness was performed through the set of tasks. resistance of inhibitory processes and stress resistance were identified in the right-handed children compared to the left-handed and mixed-handed children. This study might be useful in the area of psychophysiology of individual differences in children. Despite the abundance of literature on the study of executive functions, there is still no understanding of how inhibitory processes develop in the ontogenesis of children with different lateral preferences.

Using Biological Feedback to Promote Health Behavior Change in Adults: Protocol for a Scoping Review (Preprint)

BACKGROUND Many health conditions can be prevented, managed, or improved through behavioral interventions. Biological feedback, as a component of health behavior change interventions, is of particular interest given recent advances in wearable biosensing technology, digital health apps, and personalized health and wellness. Yet, there is a paucity of literature to guide the design and implementation of interventions that incorporate biological feedback to motivate health behavior change. OBJECTIVE The goal of this scoping review is to deeply explore the use of biological feedback as a component of health behavior change interventions that target adults. Objectives of the review include: (1) mapping the domains of research that incorporate biological feedback and (2) describing the operational characteristics of using biological feedback in the context of health behavior change. METHODS A comprehensive list of search terms was developed to capture studies from a wide range of domains. Studies to be included are randomized controlled trials targeting adults ≥18 years old that use biological feedback to change a health-related behavior, and are published as primary research articles, theses, or dissertations. The following electronic databases were searched: Ovid MEDLINE, Embase.com Embase, Cochrane Central Register of Controlled Trials, EBSCOhost PsycINFO, and ProQuest Dissertations & Theses Global. The screening and data extraction process will be guided by the Joanna Briggs Institute Manual for Evidence Synthesis and conducted by trained reviewers. RESULTS Database searches were completed in June 2021. A total of 50,459 unique records were returned after the removal of 48,634 duplicate records. The scoping review is planned for completion in 2022. CONCLUSIONS To our knowledge, this will be the first scoping review to map the literature that uses biological feedback as a component of health behavior change interventions targeting adults. Findings will be used to develop a framework to guide the design and implementation of future health behavior change interventions that incorporate biological feedback. CLINICALTRIAL 10.17605/OSF.IO/YP5WA