With the development of volleyball technology, the frequent competition, the fierce competition, and the increase of sports load, the requirements for the athletes’ own body, intelligence, combat, heart, and skills are getting higher and higher. Volleyball is one of the most popular sports in the world. It attracts people all over the world with its strong team appeal and its own unique charm. This study mainly discusses the characteristics of shoulder joint dysfunction in volleyball players and the effect of rehabilitation training under the background of artificial intelligence. By sorting out the development process of artificial intelligence technology, it can be analyzed that artificial intelligence technology already has a certain knowledge reserve, can make corresponding mechanized feedback, and can make correct judgments based on experience in more complex situations. This study compared volleyball athletes with handicap and barrier-free shoulder joints and observed the characteristics of shoulder pain, stability, and flexibility caused by subacromial impingement syndrome. It also looked at whether subacromial impingement syndrome athletes differ in volleyball spiking sequence and mobilization and recruitment of muscle power during swing spikes compared to athletes with normal shoulder function in the full kinetic chain. According to the volleyball intelligent competition platform, the implementation and application of ideas such as data collection, result feedback, adjustment of training plan, implementation of training plan, and real-time monitoring are regularly monitored. On the one hand, through timely assessment and detection of shoulder function of volleyball players, functional training is carried out for weaknesses to prevent injury; on the other hand, after a mild injury occurs, timely targeted training should be taken to find and correct wrong actions, and strengthen the weak part of muscle strength, so as to reduce the probability of repeated injury and improve sports performance and athletic ability. In the new system, after collecting and sorting, testers can directly upload to the web page in the form of Excel for automatic filling, grasp the test information of athletes in time, generate automatic warning, and save time. The monitoring content determined by this study mainly includes three index systems, including load, training preparation performance, and recovery. According to the self-provided evaluation system of relevant test equipment and the experience of expert coaches, the evaluation standards for each index are formulated. There was a statistically significant difference in the scores between the rehabilitation group and the pre-rehabilitation group during the study ( P < 0.05 ). This study attempts to find the characteristics and rules of FMS scores of women’s volleyball players of different levels, so as to provide more targeted physical training for volleyball players, promote the all-round development of physical fitness, and avoid the risk of sports injuries. This study provides more effective and comprehensive recommendations for the prevention and recovery of shoulder injuries in volleyball players. This study provides more effective and comprehensive recommendations for the prevention and recovery of shoulder injuries in volleyball players. The results of the study can provide reference for the scientific training and rehabilitation of volleyball players and make suggestions for the treatment and prevention of subacromial impingement syndrome.
ObjectiveLife form and body composition may affect the health of college students. This study will explore the relationship between the demographic variables of female college students and their body composition and health promoting lifestyle, so as to provide useful reference for the future design and planning of college students' physical and mental health courses and improving their physical activity level.MethodsUsing the method of questionnaire and bioelectrical resistance measurement, a questionnaire on healthy lifestyle of college students was constructed on the basis of consulting a large number of relevant research literature. Relevant survey samples were obtained through random sampling, and their body composition was measured; use SPSS21.0 statistical analysis software to conduct statistical analysis on relevant indicators.Results and conclusions(1) at present, female college students generally lack leisure activities and sleep, the proportion of regular fitness habits is low, and the number of snacks and average daily online time are generally too high; The overweight rate and body fat rate of female college students are generally too high, while the standard rate of muscle weight is generally too low. (2) Female college students' health promoting lifestyle has the highest score of self-realization, followed by interpersonal support and the worst behavior of sports participation; The older the college students, the worse their sports participation and overall health promotion behavior; The better the Conscious health status, the better the self-realization, exercise participation and nutritional behavior; The more exercise time per day, the higher their participation in sports and the stronger their health responsibility; The more time spent on the Internet every day, the worse the health responsibility and sports participation. (3) The more time female college students spend on the Internet every day, the higher the probability of overweight. Those with regular exercise habits have a lower proportion of overweight and high body fat rate, while the better their sleep and night snack behavior, the lower their body fat rate. The older college students are, the larger their visceral fat area is, the better their exercise habits and sleep behavior are, the smaller their visceral fat area is, and the lower their visceral fat level is.
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