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Item type:Наукова стаття, 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, MykhailoObjectives. 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.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.