Lateral Abdominal Muscle Symmetry And Risk Of Sports Injury In Baseball Players

Chen, Mingyang; Kuo, Yen‐Liang; Chou, Chun-Yu

doi:10.1249/01.mss.0000670944.30305.49

Cited by 4 publications

(3 citation statements)

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“…e analysis of related factors of sports injury risk early warning is the basis of the whole intelligent early warning of sports injury. e artificial neural network algorithm can solve this kind of problem better, but when using the neural network algorithm, we need to use the sample library to train it [12][13][14]. e quality of the sample library directly affects the accuracy of the neural network algorithm.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm

He¹

2021

Complexity

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Sports injury is a common problem in athletes’ training. The sports injury assessment model is a physical method to determine the sports injury attributes of specific parts by predicting and evaluating the risk of sports injury. In this paper, we use a neural network to realize big data analysis of sports injury data. Big data network is a method of capturing Internet information by means of cloud computing, which is usually used in the construction of Wan and LAN. This paper analyzes the source of sports risk and the main injury factors, designs the sports injury estimation model based on big data analysis, establishes a new assessment model based on RBF neural network, and builds the big data network environment required for the model operation by improving the topological structure, combining big data and deep neural network. In the built environment, the risk assessment of sports injury can be completed by determining the risk source and identifying the risk factors. The realization of the model can be constrained by the uncertainty conditions so that it can achieve a good operation state.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm

He¹

2021

Complexity

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“…The injury rates of wrist, ankle, waist, knee, hip and shoulder in the top six injury sites were 45.35%, 41.86%, 36.05%, 29.07%, 19.77% and 17.44% respectively, all of which were relatively high injury rates. 6 The last four injuries were neck, elbow, toe and palm, and the injury rates were 16.28%, 10.47%, 9.30% and 5.81%. The top six vulnerable parts of high level competitive aerobics athletes include the four vulnerable parts of competitive gymnastics, namely wrist, waist, knee and shoulder, while the ankle injury which ranks the second and the hip injury which ranks the fifth are different from the competitive gymnastics.…”

Section: Distribution Characteristics and Analysis Of Common Injury Sites Of High-level Competitive Aerobics Athletes In Chinamentioning

confidence: 93%

The Prevention Method of Sports Medicine Imaging Modeling

Zhao

et al. 2021

Rev Bras Med Esporte

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Introduction: Sports injury is an important reason to interfere with sports training and physical exercise since it will not only bring unnecessary pain to the injured body, but also bring out negative emotions in athletes. Objective: To study the sports injury characteristics of high level competitive aerobics athletes in China. Methods: Literature data, questionnaire survey, expert interviews, field observation, mathematical statistics and physiotherapy tracking were used. Results: Wrists, ankles, waist and knees were the most frequently injured parts in high level competitive aerobics athletes in China. The main type of injury was acute injury, but chronic injury (48.18%) could not be ignored. Ninety percent of active high-level competitive aerobics athletes train with injuries, and 10 percent of them completely stop training because of injuries. Conclusions: Athletes should pay attention to their physical reserve and strengthen physical training. They must also be attentive to self-supervision, their own subjective feelings, and control the amount of exercise done. Level of evidence II; Therapeutic studies - investigation of treatment results.

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“…ere are many basic skills of athletes, and the training of basic dribbling is particularly important. Only by mastering accurate basketball dribbling can the techniques and tactics be fully utilized [6,9]. It is very important to ensure the standardization and accuracy of basic movements.…”

Section: Statistical Calculation Methods Of Athletes' Biorhythm Status and Sports Injurymentioning

confidence: 99%

Statistical Calculation Method and Analysis of Athletes’ Biorhythm State and Sports Injury

Shao-hui

2021

Mobile Information Systems

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In recent years, attention has been focused on the prevention and treatment of sports injuries. However, no athlete injury prevention system has been established. Athletes’ injury prevention has become an important research field, but it is still used in current sports injury statistics. Traditional calculation methods are difficult to meet the requirements of modern halo. In order to understand the relationship between the athlete’s biorhythm state and the statistical calculation method of sports injury and to reduce the damage caused by sports injury to athletes, we have carried out statistics on various physical parameters of athletes in a certain university in this city through example analysis and creatively introduced the statistical calculation method of the fault tree, and the corresponding results provide a certain research foundation for the subsequent research. The research results in this article prove that formulating a suitable sport mode for athletes can improve their athletic ability by more than 10%, reduce damage to athletes, and extend their professional life. Generally speaking, athletes’ injuries can be reduced by more than 15%. This shows that appropriate injury statistics calculation methods and research on sports injury prevention in advance are extremely important for athletes.

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Lateral Abdominal Muscle Symmetry And Risk Of Sports Injury In Baseball Players

Cited by 4 publications

References 0 publications

[Retracted] Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm

[Retracted] Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm

The Prevention Method of Sports Medicine Imaging Modeling

Statistical Calculation Method and Analysis of Athletes’ Biorhythm State and Sports Injury

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