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Revealing the Peculiarities of Female Students’ Physiological Characteristics with Different Somatotypes in the Absence of Compulsory Physical Activity at University
(2024-10-30) Dmytruk, Vitaliy; Kovalchuk, Volodymyr; Hrebik, Oleh; Banakh, Volodymyr; Iedynak, Gennadii; Galamanzhuk, Lesia; Blavt, Oksana; Huska, Mykhailo
Objectives. The purpose of the study was to determine the parameters of female students’ physiological characteristics with different somatotypes, which they achieved by exercising outside the university due to COVID-19 quarantine and air raids during the hostilities in Ukraine. Material and methods. The study involved 66 female students aged 17.8 ± 0.6 years, who belonged to different somatotypes and had no reservations about engaging in different amounts of physical activity. The Shtefko-Ostrovsky method, modified by S. Darskaja, was used to diagnose the somatotype. The necessary empirical data were obtained through the performing well-known functional tests that allowed to determine blood pressure, heart rate in different situations, vital capacity, vital capacity index, maximum isometric strength index, and Robinson index. The parameters of these characteristics were determined in female students with each of the four available somatotypes during the study, and each parameter was compared with different somatotypes. The testing was conducted at the beginning (January) and at the end (May-June) of the academic semester, but during one academic year. Results. At the beginning, and even more so at the end of the academic year, the parameters of the studied characteristics in female students with each of the available somatotypes differed from each other (p-values ranging at the level from 0.05 to 0.000). The volumes and conditions of physical activity used during the academic year did not lead to significant changes in the physiological characteristics of all female students, i.e. parameters remained at the previously achieved level. At the same time, the presence of peculiarities caused by the girl’s belonging to a certain somatotype was observed. Conclusions. Identifying the peculiarities in changes of female students’ physiological characteristics’ parameters, taking into account their somatotypes, is a perspective and significant direction for modernization of physical education at university. The obtained data will contribute to the individualization of the content and normative bases of physical education for female students, using information on the manifestation and change of parameters of various characteristics, including physiological ones.
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, Volodymyr
The 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.

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