Real-Time precision prehospital stroke diagnosis in weightlifting athletes using cutting-edge noninvasive sensors
Diagnóstico precoz de accidentes cerebrovasculares en atletas de halterofilia en tiempo real utilizando sensores no invasivos de última generación
Tursynova A. Kaldarova B.
December 2024Federacion Espanola de Docentes de Educacion Fisica
Retos
2024#611321 - 1332 pp.
This research paper presents an investigation into the efficacy of a novel diagnostic technology designed for the real-time monitoring of weightlifting athletes, focusing on precision, time efficiency, and user convenience compared to traditional diagnostic systems. The study introduces an advanced non-invasive sensor system, integrated into a cohesive Internet of Medical Things (IoMT) framework, which facilitates the immediate and accurate assessment of athletes health parameters. To empirically test the benefits of this new technology, a pedagogical experiment was conducted involving two distinct groups: an experimental group that utilized the proposed technology for medical checkups, and a control group that continued with traditional diagnostic methods. Each group consisted of 30 athletes, and the outcomes were measured across three dimensions: the precision of diagnostic results, the time expended for medical checkups, and the user-reported convenience of the equipment. The findings indicate that the proposed technology not only significantly enhances the precision of health diagnostics but also reduces the time required for medical examinations, thereby increasing overall efficiency. Additionally, the higher convenience scores reported by the experimental group suggest improved user satisfaction and usability. These results demonstrate the potential of the proposed diagnostic system to transform athlete health monitoring by providing more accurate, efficient, and user-friendly medical assessments, suggesting a significant step forward in the application of advanced technologies in sports medicine.
athlete health monitoring , diagnostic technology , internet of medical things (iomt) , non-invasive sensors , precision diagnostics , real-time monitoring , sports medicine , time efficiency , user convenience , wearable technology
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Al-Farabi Kazakh National University, Kazakhstan
South Kazakhstan Pedagogical University named after Ozbekali Zhanibekov, Kazakhstan
Al-Farabi Kazakh National University
South Kazakhstan Pedagogical University named after Ozbekali Zhanibekov
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026