{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T18:18:30Z","timestamp":1769710710167,"version":"3.49.0"},"reference-count":20,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,7,2]]},"abstract":"<jats:p>In view of the weak correlation between the signal features of the sports injury image extracted by the existing methods and the damage points, the accuracy is low and the recognition time is long. In order to improve the recognition accuracy of sports injury and reduce the loss of sports injury to human body, a method of college students\u2019 long-distance running injury point recognition based on association rules is proposed. According to the contour of the injured part of college students\u2019 long-distance running, the image is segmented, and the wavelet function is used to decompose the image signal into different frequency bands. The strong correlation rules between the wavelet function and the image signal are analyzed, so that the total energy of the time domain waveform can replace the wavelet transform coefficient; Secondly, the laser harmonic imaging points which have strong correlation with the damage points are regarded as the damage points; Finally,construct the perspective image acquisition platform, collect the sports injury image data of College Students\u2019 long-distance runners in sports school, and set up comparative experiments. The experimental results show that the design method improves the recognition accuracy of College Students\u2019 long-distance sports injury points and reduces the recognition time.<\/jats:p>","DOI":"10.3233\/jifs-224334","type":"journal-article","created":{"date-parts":[[2023,4,25]],"date-time":"2023-04-25T12:07:18Z","timestamp":1682424438000},"page":"177-183","source":"Crossref","is-referenced-by-count":1,"title":["Identification method of long-distance running injury points for college students based on association rules"],"prefix":"10.1177","volume":"45","author":[{"given":"Shirong","family":"Zhang","sequence":"first","affiliation":[{"name":"Physical Education Department, Fuzhou Institute of Technology, Fuzhou Fujian, China"}]},{"given":"Lihong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Physical Education Department, Fuzhou Institute of Technology, Fuzhou Fujian, China"}]}],"member":"179","reference":[{"issue":"08","key":"10.3233\/JIFS-224334_ref1","first-page":"118","article-title":"Research on progress of MRI-based deep learning in bone and joint sports injury","volume":"12","author":"Ni","year":"2021","journal-title":"Magnetic Resonance Imaging"},{"issue":"02","key":"10.3233\/JIFS-224334_ref2","first-page":"103","article-title":"Study on the effect of functional motion screening (FMS\u223c(TM)) on sports injury prediction of high-level short track speed skating athletes","volume":"45","author":"Shi","year":"2019","journal-title":"Journal of Chengdu University of Physical Education"},{"issue":"06","key":"10.3233\/JIFS-224334_ref3","first-page":"60","article-title":"Simulation analysis of Interface Damage and Deformation of Motion Pair in mold Micro-assembly","volume":"35","author":"Zhou","year":"2021","journal-title":"China Plastics"},{"issue":"03","key":"10.3233\/JIFS-224334_ref4","first-page":"84","article-title":"Application of omics technique in the study of anterior cruciate ligament injury [J]","volume":"41","author":"Zhu","year":"2021","journal-title":"Sports Science"},{"key":"10.3233\/JIFS-224334_ref5","unstructured":"Han T.R. , Study on the relationship between structural and functional characteristics of lower limb and lower limb injury in long-distance runners, Beijing Sport University, 2017."},{"issue":"06","key":"10.3233\/JIFS-224334_ref6","first-page":"47","article-title":"Investigation and analysis of sports injury of youth middle-distance runner","author":"Zhang","year":"2010","journal-title":"Sports World (Academic Edition)"},{"issue":"14","key":"10.3233\/JIFS-224334_ref7","first-page":"262","article-title":"Motion damage detection method based on sensor information fusion based on the wavelet analysis","volume":"19","author":"Yang","year":"2019","journal-title":"Science Technology and Engineering"},{"issue":"5","key":"10.3233\/JIFS-224334_ref8","first-page":"526","article-title":"Hand movement EMG recognition based on feature engineering and cascade forest for stroke patients","author":"Hu","year":"2021","journal-title":"Robot, Lancet"},{"key":"10.3233\/JIFS-224334_ref9","first-page":"56","article-title":"Storying sports injury experiences of elite track athletes: A narrative analysis","author":"Everard","year":"2021","journal-title":"Psychology of Sport & Exercise"},{"key":"10.3233\/JIFS-224334_ref10","doi-asserted-by":"crossref","unstructured":"Ngo J.K. and SolisUrra K. , Patricio and Sanchez Martinez Javier, Injury profile among street workout practitioners, Orthopaedic Journal of Sports Medicine 9(6) (2021).","DOI":"10.1177\/2325967121990926"},{"issue":"06","key":"10.3233\/JIFS-224334_ref11","first-page":"36","article-title":"Correlation between FMS and sports injury of middle and long distance runners in Quanzhou universities","volume":"36","author":"Jiang","year":"2017","journal-title":"Sichuan Sports 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technology","volume":"43","author":"Zhao","year":"2021","journal-title":"Journal of Shenyang University of Technology"},{"issue":"12","key":"10.3233\/JIFS-224334_ref16","first-page":"1691","article-title":"Structural damage identification method based on time series model","volume":"47","author":"Zhang","year":"2019","journal-title":"Journal of Tongji University (Natural Science)"},{"issue":"11","key":"10.3233\/JIFS-224334_ref17","first-page":"1191","article-title":"Diagnostic value of multi-label learning MRI knee joint motor injury detection model","volume":"55","author":"Lin","year":"2021","journal-title":"Chinese Journal of Radiology"},{"issue":"07","key":"10.3233\/JIFS-224334_ref18","first-page":"84","article-title":"Functional motor screening for the prediction of sports injury: a prospective cohort study","volume":"45","author":"Shu","year":"2021","journal-title":"Journal of Shanghai University of Physical 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