Forecasting sports-related injuries using wearable devices and data analysis methods
This study investigates the effectiveness of wearable technology in predicting injury rates among athletes, focusing on both micro and severe injuries. Over a 20-week period, 80 physical culture students were divided into an experimental group, using wearable devices for real-time data monitoring,...
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| Language: | English |
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FEADEF
2024-09-01
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| Series: | Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación |
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| Online Access: | https://recyt.fecyt.es/index.php/retos/article/view/109162 |
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| author | Balnur Kenjayeva Moldir Kizdarbekova Mirambek Murzabekov |
| author_facet | Balnur Kenjayeva Moldir Kizdarbekova Mirambek Murzabekov |
| author_sort | Balnur Kenjayeva |
| collection | DOAJ |
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This study investigates the effectiveness of wearable technology in predicting injury rates among athletes, focusing on both micro and severe injuries. Over a 20-week period, 80 physical culture students were divided into an experimental group, using wearable devices for real-time data monitoring, and a control group employing traditional training methods. The study utilized a range of wearable sensors to collect comprehensive physiological and biomechanical data, which was analyzed using custom Python-based tools. Results indicated a significant reduction in micro injuries within the experimental group, affirming the hypothesis that wearable technology can decrease injury incidence through personalized training adjustments. However, the impact on severe injuries was not statistically significant, highlighting the technology's limitations in predicting and preventing acute injuries. This research underscores the potential of wearable devices to enhance athlete safety through data-driven insights but also points to the need for further studies to fully understand and leverage technology in preventing more serious injuries. The findings have important implications for sports science, suggesting a paradigm shift towards more technologically integrated training regimes to optimize health outcomes and performance in athletic populations.
Keywords: wearable technology, athlete injury prevention, real-time data monitoring, sports science, biomechanical data analysis, micro injuries, severe injuries, personalized training adjustments.
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| format | Article |
| id | doaj-art-ad85367ae60e443d8fd5e7d6ad36be35 |
| institution | OA Journals |
| issn | 1579-1726 1988-2041 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | FEADEF |
| record_format | Article |
| series | Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación |
| spelling | doaj-art-ad85367ae60e443d8fd5e7d6ad36be352025-08-20T02:35:07ZengFEADEFRetos: Nuevas Tendencias en Educación Física, Deportes y Recreación1579-17261988-20412024-09-015810.47197/retos.v58.109162Forecasting sports-related injuries using wearable devices and data analysis methodsBalnur Kenjayeva0Moldir Kizdarbekova1Mirambek Murzabekov2International University of Tourism and HospitalityKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, KazakhstanDepartment of Physical Culture and Primary Military Training, Korkyt Ata Kyzylorda University Kyzylorda, Kazakhstan This study investigates the effectiveness of wearable technology in predicting injury rates among athletes, focusing on both micro and severe injuries. Over a 20-week period, 80 physical culture students were divided into an experimental group, using wearable devices for real-time data monitoring, and a control group employing traditional training methods. The study utilized a range of wearable sensors to collect comprehensive physiological and biomechanical data, which was analyzed using custom Python-based tools. Results indicated a significant reduction in micro injuries within the experimental group, affirming the hypothesis that wearable technology can decrease injury incidence through personalized training adjustments. However, the impact on severe injuries was not statistically significant, highlighting the technology's limitations in predicting and preventing acute injuries. This research underscores the potential of wearable devices to enhance athlete safety through data-driven insights but also points to the need for further studies to fully understand and leverage technology in preventing more serious injuries. The findings have important implications for sports science, suggesting a paradigm shift towards more technologically integrated training regimes to optimize health outcomes and performance in athletic populations. Keywords: wearable technology, athlete injury prevention, real-time data monitoring, sports science, biomechanical data analysis, micro injuries, severe injuries, personalized training adjustments. https://recyt.fecyt.es/index.php/retos/article/view/109162wearable technologyathlete injury preventionreal-time data monitoringsports sciencebiomechanical data analysismicro injuries |
| spellingShingle | Balnur Kenjayeva Moldir Kizdarbekova Mirambek Murzabekov Forecasting sports-related injuries using wearable devices and data analysis methods Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación wearable technology athlete injury prevention real-time data monitoring sports science biomechanical data analysis micro injuries |
| title | Forecasting sports-related injuries using wearable devices and data analysis methods |
| title_full | Forecasting sports-related injuries using wearable devices and data analysis methods |
| title_fullStr | Forecasting sports-related injuries using wearable devices and data analysis methods |
| title_full_unstemmed | Forecasting sports-related injuries using wearable devices and data analysis methods |
| title_short | Forecasting sports-related injuries using wearable devices and data analysis methods |
| title_sort | forecasting sports related injuries using wearable devices and data analysis methods |
| topic | wearable technology athlete injury prevention real-time data monitoring sports science biomechanical data analysis micro injuries |
| url | https://recyt.fecyt.es/index.php/retos/article/view/109162 |
| work_keys_str_mv | AT balnurkenjayeva forecastingsportsrelatedinjuriesusingwearabledevicesanddataanalysismethods AT moldirkizdarbekova forecastingsportsrelatedinjuriesusingwearabledevicesanddataanalysismethods AT mirambekmurzabekov forecastingsportsrelatedinjuriesusingwearabledevicesanddataanalysismethods |