Sensor-based technologies for motion analysis in sports injuries: a scoping review
Abstract Background Insightful motion analysis provides valuable information for athlete health, a crucial aspect of sports medicine. This systematic review presents an analytical overview of the use of various sensors in motion analysis for sports injury assessment. Methods A comprehensive search o...
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BMC
2025-01-01
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| Series: | BMC Sports Science, Medicine and Rehabilitation |
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| Online Access: | https://doi.org/10.1186/s13102-025-01063-z |
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| author | Afrooz Arzehgar Seyedeh Nahid Seyedhasani Fatemeh Baharvand Ahmadi Fatemeh Bagheri Baravati Alireza Sadeghi Hesar Amir Reza Kachooei Shokoufeh Aalaei |
| author_facet | Afrooz Arzehgar Seyedeh Nahid Seyedhasani Fatemeh Baharvand Ahmadi Fatemeh Bagheri Baravati Alireza Sadeghi Hesar Amir Reza Kachooei Shokoufeh Aalaei |
| author_sort | Afrooz Arzehgar |
| collection | DOAJ |
| description | Abstract Background Insightful motion analysis provides valuable information for athlete health, a crucial aspect of sports medicine. This systematic review presents an analytical overview of the use of various sensors in motion analysis for sports injury assessment. Methods A comprehensive search of PubMed/MEDLINE, Scopus, and Web of Science was conducted in February 2024 using search terms related to “sport”, “athlete”, “sensor-based technology”, “motion analysis”, and “injury.” Studies were included based on PCC (Participants, Concept, Context) criteria. Key data, including sensor types, motion data processing methods, injury and sport types, and application areas, were extracted and analyzed. Results Forty-two studies met the inclusion criteria. Inertial measurement unit (IMU) sensors were the most commonly used for motion data collection. Sensor fusion techniques have gained traction, particularly for rehabilitation assessment. Knee injuries and joint sprains were the most frequently studied injuries, with statistical methods being the predominant approach to data analysis. Conclusions This review comprehensively explains sensor-based techniques in sports injury motion analysis. Significant research gaps, including the integration of advanced processing techniques, real-world applicability, and the inclusion of underrepresented domains such as adaptive sports, highlight opportunities for innovation. Bridging these gaps can drive the development of more effective, accessible, and personalized solutions in sports health. |
| format | Article |
| id | doaj-art-9aca6f7cfa1d4a3f8b4be08ef6a9d3ff |
| institution | Kabale University |
| issn | 2052-1847 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Sports Science, Medicine and Rehabilitation |
| spelling | doaj-art-9aca6f7cfa1d4a3f8b4be08ef6a9d3ff2025-02-02T12:36:21ZengBMCBMC Sports Science, Medicine and Rehabilitation2052-18472025-01-0117111410.1186/s13102-025-01063-zSensor-based technologies for motion analysis in sports injuries: a scoping reviewAfrooz Arzehgar0Seyedeh Nahid Seyedhasani1Fatemeh Baharvand Ahmadi2Fatemeh Bagheri Baravati3Alireza Sadeghi Hesar4Amir Reza Kachooei5Shokoufeh Aalaei6Department of medical informatics, Faculty of medicine, Mashhad University of Medical SciencesDepartment of medical informatics, Faculty of medicine, Mashhad University of Medical SciencesDepartment of medical informatics, Faculty of medicine, Mashhad University of Medical SciencesDepartment of medical informatics, Faculty of medicine, Mashhad University of Medical SciencesDepartment of medical informatics, Faculty of medicine, Mashhad University of Medical SciencesRothman Orthopaedics Florida at AdventHealthDepartment of medical informatics, Faculty of medicine, Mashhad University of Medical SciencesAbstract Background Insightful motion analysis provides valuable information for athlete health, a crucial aspect of sports medicine. This systematic review presents an analytical overview of the use of various sensors in motion analysis for sports injury assessment. Methods A comprehensive search of PubMed/MEDLINE, Scopus, and Web of Science was conducted in February 2024 using search terms related to “sport”, “athlete”, “sensor-based technology”, “motion analysis”, and “injury.” Studies were included based on PCC (Participants, Concept, Context) criteria. Key data, including sensor types, motion data processing methods, injury and sport types, and application areas, were extracted and analyzed. Results Forty-two studies met the inclusion criteria. Inertial measurement unit (IMU) sensors were the most commonly used for motion data collection. Sensor fusion techniques have gained traction, particularly for rehabilitation assessment. Knee injuries and joint sprains were the most frequently studied injuries, with statistical methods being the predominant approach to data analysis. Conclusions This review comprehensively explains sensor-based techniques in sports injury motion analysis. Significant research gaps, including the integration of advanced processing techniques, real-world applicability, and the inclusion of underrepresented domains such as adaptive sports, highlight opportunities for innovation. Bridging these gaps can drive the development of more effective, accessible, and personalized solutions in sports health.https://doi.org/10.1186/s13102-025-01063-zFeedbackInjuryMotion analysisRehabilitationSensorSport |
| spellingShingle | Afrooz Arzehgar Seyedeh Nahid Seyedhasani Fatemeh Baharvand Ahmadi Fatemeh Bagheri Baravati Alireza Sadeghi Hesar Amir Reza Kachooei Shokoufeh Aalaei Sensor-based technologies for motion analysis in sports injuries: a scoping review BMC Sports Science, Medicine and Rehabilitation Feedback Injury Motion analysis Rehabilitation Sensor Sport |
| title | Sensor-based technologies for motion analysis in sports injuries: a scoping review |
| title_full | Sensor-based technologies for motion analysis in sports injuries: a scoping review |
| title_fullStr | Sensor-based technologies for motion analysis in sports injuries: a scoping review |
| title_full_unstemmed | Sensor-based technologies for motion analysis in sports injuries: a scoping review |
| title_short | Sensor-based technologies for motion analysis in sports injuries: a scoping review |
| title_sort | sensor based technologies for motion analysis in sports injuries a scoping review |
| topic | Feedback Injury Motion analysis Rehabilitation Sensor Sport |
| url | https://doi.org/10.1186/s13102-025-01063-z |
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