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Item type:Наукова стаття, Application of intelligent digital infrastructure into the L-test implementation in the physical education of students with lower limb ambulance(2025-04-30) Blavt, Oksana; Iedynak, Hennadii; Vovk, Ihor; Naumchuk, Volodymyr; Kovalchuk, Volodymyr; Faidevych, Volodymyr; Vasyliv, VolodymyrThe purpose of the study was to determine the psychometric properties of the L-test for students with lower limb amputation implemented by intelligent digital infrastructure. Material and Methods. The experiment involved first-year students (males) with amputation of the lower left limb in the absence of acute conditions, open wounds, or complications. The theoretical and empirical research used the following methods: analysis, synthesis, systematization, generalization, measurement and mathematical statistics. Measurement was implemented using the L-test. Results. The result of our scientific search was the development of an intelligent digital infrastructure designed for the implementation of the L-test, which involved solving tasks in collecting and analyzing testing data such as test execution time, gait trajectory, maintaining balance during gait and accuracy of turning. The intelligent digital infrastructure included: Radiofrequency Identification (RFID) microcontroller with an Arduino Mega 2560 board and PC with OLED display. The development used RFID components: RFID tags located at key points of the L-test trajectory, RFID reader - which is located on the student and RFID - data processing system that accumulates and analyzes information, linking RFID elements into a single system. The signal received and processed by RFID when a student performs a test task is transmitted via radiofrequency communication to the Arduino Mega 2560 microcontroller board. The board provides the ability to process signals from RFID to calculate gait parameters when performing the L-test. To increase the efficiency of the intelligent digital infrastructure, Machine Learning algorithms and cloud data storage were implemented. Analysis of the results of the experimental study showed a «high» level of psychometric properties of the L-test for students with lower limb amputations implemented by the intelligent digital infrastructure in contrast to the results recorded by a stopwatch. Conclusions. The use of the intelligent digital infrastructure in the implementation of the L-test for students with lower limb amputations provides a high level of reliability and objectivity of the control results in real-time. The use of modern artificial intelligence technologies in the developed infrastructure allows analyzing large volumes of collected data and creating models capable of assessing the quality of test performance and identifying gait pathologies in students when performing the L-test.Item type:Наукова стаття, Using Programmable Device Installations to Control Students with Disabilities after Blast Traumatic Brain Injury in 10 Meter Walking Test(2024-06-30) Turka, RostyslavObjectives. This study aimed to determine the degree of authenticity for the test implemented using a programmable installation for monitoring the functions of functional mobility, gait, and the state of the vestibular apparatus in students with disabilities who have sustained a blast traumatic brain injury. Material and methods. The study included a total of 39 first-year students with disabilities after an explosive brain injury. The following methods were used: theoretical analysis of scientific and methodological literature, the method of technical modelling, pedagogical testing, pedagogical experiment, and methods of mathematical statistics. In order to ascertain the efficacy of the proposed intervention, a 10-meter walking test was conducted. Results. The result of our study was the development using information systems and networks of a programmable device for the implementation of the 10-meter walking test, which is used to monitor the recovery of functional mobility, gait, and the state of the vestibular apparatus in students with disabilities after an explosive brain injury. The installation was based on a network of sensors organized according to the Arduino microcontroller platform. Acoustic, optical sensors, distance sensors, proximity sensors, presence sensors, and spatial position sensors have been placed to record the results of the test distance. The sensors, having received an information signal about the student passing the test, transmit it to the controller. In the controller, information is identified, processed, calculated and transferred to a personal computer, where it is displayed on the screen and reproduced graphically. The software ensures maintainability throughout the test, as well as efficiency of data processing, calculation of required parameters and their storage. Data processing is implemented using image analysis systems based on neural networks. According to the findings of testing and correlation analysis, indicators’ authenticity degree for the used tests were established, which differed by the means of measuring the results. The level of correlation coefficient between the values for test reliability and validity in the case of fixing the test results using a stopwatch was not found to fall within the “low” and “acceptable” limits, while in the second case, when the results were fixed by a programmed control unit, it reached the “high” level. Conclusions. The use of the developed programmable device in the practical work of inclusive PE provides convenience, functionality, objectivity and reliability of control in the process of rehabilitation of students with disabilities after an explosive craniocerebral injury. What is confirmed by the values of the test authenticity measure obtained during the experiment when fixing the results by the developed installation.Item type:Наукова стаття, Digitalization of “Timed Up and Go” Test to Increase the Control Efficiency in Inclusive Physical Education(2026-05-30) Blavt, Oksana; Galamanzhuk, Lesia; Iedynak, Gennadii; Larysa, Kozibroda; Banakh, Volodymyr; Faidevych, Volodymyr; Holub, Viktor; Stadnyk, VolodymyrObjectives. The purpose of this study was to establish the reliability and validity of the “Timed Up and Go” (TUG) test for students with disabilities who have undergone lower limb amputation using an intelligent software-controlled hardware complex in inclusive physical education. Materials and Methods. The study was conducted at the theoretical and empirical levels. The following methods were used: analysis, synthesis, systematization, generalization, measurement, and mathematical statistics. Measurements were performed using the TUG test. The study sample included first-year male students with a left lower limb amputation (n = 23), provided there were no acute conditions, open wounds, or complications. Results. The results of the study are presented in the developed intelligent software-controlled hardware system for implementing the TUG test. The structural composition of the system includes Bluetooth-enabled wireless sensors placed on the student and along the entire TUG trajectory. The signals received by the Xsens DOT sensors are transmitted to the latest Arduino Uno R3 microcontroller. Information display and control are provided through the use of a Liquid Crystal Display. A distinctive feature of the complex is the use of IoT technologies for analytics and forecasting in inclusive physical education. Automated acquisition of TUG results enables the recording of numerous gait parameters in students with disabilities and lower limb amputation, such as the amplitude of central oscillations, reaction time, and step length, which cannot be recorded when TUG results are measured using a stopwatch. Digital data processing transforms the reliability and validity of the TUG test from "average" when measured with a stopwatch to "high", ensuring accurate recording of numerous parameters down to the microsecond level. Conclusions. The novelty of the developed intelligent programmable tool for implementing the "Get Up and Go" test ensures effective control in inclusive physical education and eliminates the influence of the human factor on test results.Item type:Наукова стаття, Determining the Quality of Measuring the Level of Lower Extremity Joint Movement in Inclusive Physical Education Using Electronic IT Resources(2024-04) Mykytyuk, Zinoviy; Blavt, Oksana; Iedynak, Gennadii; Galamanzhuk, Lesia; Klius, Olena; Panasiuk Oleksandr; Kovalchuk, Volodymyr; Khomych, AnatoliiObjectives. The study aimed to investigate the quality characteristics of the tool developed based on electronic IT resources for measuring the level of movements in the joints of the lower limbs of students with disabilities caused by injuries. Material and methods. The experimental study involved 32 first-year students who had sustained lower limb injuries as a result of the war and were in remission. The methods used included analysis, synthesis, systematization, generalization, technical modeling, pedagogical experiments, and mathematical statistics. Results. A means of measuring movements in the joints of the lower limbs has been developed using electronic IT resources. The basis of the tool is a measuring line consisting of a printed circuit board on which is placed a design of capacitive sensors, a switching line, and a signal converter that measures the signal received by the sensors. The measurement results are transmitted to the controller and then to the PC via an interface implemented based on Bluetooth wireless technology. To implement the measuring tool, a controller is used, which has a board built on the synthesis of the Arduino electronic hardware platform and the Raspberry Pi minicomputer. The test results are displayed on the PC monitor screen. The determination of the qualitative characteristics of the test, in the case of recording the results of a tool developed on the basis of electronic IT resources for measuring the level of movements in the joints of the lower limbs of students with disabilities, established that the level of reliability of the test is above 0.90 (“excellent”) validity – from 0.6 (“high”). Empirical data collected directly from the experiment have a low level of reliability: qualitative indicators of reliability in the range are below 0.70 (“may have limited applicability”), validity – < 0.3 (“low validity”). Conclusions. Developed based on electronic IT resources, the tool for measuring the level of movements in the joints of the lower limbs of students with disabilities due to limb injuries has significant advantages, such as the availability of functions, ease of use and efficiency. Ensuring high efficiency and objectivity of control contributes to performing control operations in real-time. By using assessment tools with a high level of reliability and validity, we ensure the detection of reliable changes in the state of the joints of the lower limbs of students with disabilities, thus eliminating the influence of errors in making managerial decisions in the planning process of their PE.