In recent years, with the gradual development of sports, the competition between athletes is becoming more and more fierce. The long training time and heavy body load of athletes lead to the increase of the incidence of sports injury, and the evaluation and analysis of athletes' sports injury need a lot of manpower and material resources. In order to improve the calculation efficiency of sports injury estimation results and save the cost of estimation and analysis, we propose a sports injury estimation model based on the algorithm model of mutation fuzzy neural network. The sports injury model constructed in this paper can not only systematically evaluate and analyze the degree of sports injury of athletes, but also improve the accuracy and efficiency; at the same time, it has universality for the evaluation and analysis of the degree of sports injury. The construction of this model provides the theoretical basis of big data algorithm for the prevention of sports injury and the application of mutation fuzzy neural network in the field of sports.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654572 | PMC |
http://dx.doi.org/10.1155/2021/3056428 | DOI Listing |
Knee Surg Sports Traumatol Arthrosc
January 2025
Department of Molecular Medicine & Surgery, Stockholm Sports Trauma Research Center, Karolinska Institute, Stockholm, Sweden.
Purpose: To investigate the rate and timing for return to football league games after anterior cruciate ligament reconstruction (ACLR) in Swedish players, examining associations with sex, age, level, graft and additional ACL surgery.
Method: Data from the Swedish National Knee Registry (SNKLR) and the Swedish Football Association's IT System (FOGIS) were used. The study cohort comprised 971 football players, 64% males, who underwent primary ACLR.
Exp Neurol
January 2025
Exercise Biochemistry Laboratory, Center of Physical Education and Sports, Federal University of Santa Maria, Santa Maria, Brazil; Department of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria, Brazil. Electronic address:
Traumatic brain injury (TBI) is a burdensome condition frequently associated with an increased risk of psychiatric disorders. Although the exact molecular signaling pathways have not yet been fully defined, the compromised integrity of functional brain networks in regions such as the prefrontal cortex and anterior cingulate cortex has been linked to persistent symptoms, including depression, fatigue, and sleep disorders. Understanding how TBI affects neural physiology enables the development of effective interventions.
View Article and Find Full Text PDFArthroscopy
January 2025
The Everett J. and Marian Gordon Professor of Orthopaedic Surgery and Sports Medicine The Rothman Institute, Thomas Jefferson University Philadelphia, Pennsylvania, U.S.A. Electronic address:
Current surgical treatment options for ulnar collateral ligament injury of the elbow include both reconstruction and repair. A growing amount of research has evaluated the outcomes of these various techniques in a variety of study designs. Large national database assessment indicates that overall failure rates are low and complication rates are similar between UCL reconstruction and UCL repair techniques.
View Article and Find Full Text PDFPurpose: This study aimed to assess the posterior cruciate ligament (PCL) angle in anterior cruciate ligament (ACL) deficient knees and correlate it with anatomical and demographic factors such as tibial slope, anterior tibial translation, age, gender, and time of injury.
Material And Methods: Patients were eligible for inclusion if they were clinically diagnosed with an ACL tear confirmed by MRI. For each patient, the following parameters were evaluated: PCL angle (PCLA), medial tibial slope (MTS), lateral tibial slope (LTS), medial anterior tibial translation (MATT), and lateral anterior tibial translation (LATT).
Sensors (Basel)
January 2025
School of Athletic Performance, University of Sport, Shanghai 200438, China.
This study investigates the effects of electrical stimulation (EMS) combined with strength training on lower limb muscle activation and badminton jump performance, specifically during the "jump smash" movement. A total of 25 male badminton players, with a minimum of three years of professional training experience and no history of lower limb injuries, participated in the study. Participants underwent three distinct conditions: baseline testing, strength training, and EMS combined with strength training.
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