scholarly journals SIMULATION FOR DAMAGED PARTS RECOGNITION OF SPORTS INJURY BIOLOGICAL IMAGES

2021 ◽  
Vol 27 (3) ◽  
pp. 307-310
Author(s):  
Guozheng Zhu

ABSTRACT Introduction To reduce or avoid injuries during high-intensity sports and help treat the injured part, the method of recognizing biological images of the damaged part is a crucial point of current research. Objective To reduce the damage caused by high-intensity sports and improve the efficiency of injury treatment, this article explores the method of identifying damaged parts in biological imaging of high-intensity sports injuries. Methods A method is proposed to recognize damaged parts of biological images of high-intensity sports injuries based on an improved regional growth algorithm. Results A rough segmented image developed in black and white is obtained with the main body as the objective and background. Based on approximate segmentation, the region growth algorithm is used to accurately recognize the damaged region by improving the selection of the hotspots and the growth rules. Conclusion The recognition accuracy is high, and the recognition time is shorter. The algorithm proposed in this work can improve the precision of recognizing the damaged parts of the biological image of the sports injury and shorten the recognition time. It has the feasibility to determine the damaged parts of sports injuries. Level of evidence II; Therapeutic studies: investigation of treatment results.

2021 ◽  
Vol 27 (5) ◽  
pp. 504-508
Author(s):  
Feng Wang ◽  
Cheng Wang ◽  
Fei He

ABSTRACT Introduction: When athletes are performing sports training, many movements are of high intensity, and that training is repetitive, resulting in wear and tear on some injured parts. Objective: Sports athletes can damage parts of the body in high - intensity exercise. During the processing, it is necessary to identify and analyze the damaged parts in the image. However, the current relevant methods have low accuracy and different problems of efficiency and quality. Methods: In this paper, a Fish Swarm Algorithm is proposed to identify high-intensity motion damage images. According to the combination of adaptive threshold and mathematical morphology, the contour of the damaged part of the image is extracted. Results: The above-mentioned method can improve the accuracy of identifying damaged parts of sports injury images, shorten the recognition time, and has certain feasibility in determining sports injury parts. Conclusions: This method can be widely used in high-intensity sports injuries. Level of evidence II; Therapeuticstudies - investigation of treatment results.


2021 ◽  
Vol 27 (4) ◽  
pp. 414-418
Author(s):  
Youdong Wang

ABSTRACT Introduction: The Functional Movement Test (FMS) is an evaluation method for the basic movement patterns of the human body that is designed by Gray Cook. Objective: This paper explores the application value of functional action test (FMS) biological image data in the risk assessment of sports injuries of Chinese rugby players. Methods: Taking the active national football team and provincial football players as the object, the standard FMS test is used to collect the data to determine the best deadline for the total FMS score. Results: The area under the ROC curve (AUC) of the overall athletes, men and women was significantly different from the assumption of AUC=0.5, which were 0.780 (P=0.000), 0.877 (P=0.001), 0.7130 (P=0.013); The best cutoff points corresponding to the total score of FMS are 13.5 points, 15.5 points, and 13.5 points, respectively. The chi-square test showed that the prevalence of the positive group (the total FMS score was less than the corresponding cutoff point) was significantly higher than the negative group (the total FMS score was greater than the corresponding cutoff point) (P<0.01). The OR values of the total athlete, male and female FMS total score positive groups were 25.85 (95%CI: 3.34∼200.23), 25.00 (95%CI: 2.36∼264.80), 14.22 (95%CI: 1.76∼114.92). Conclusions: Among Chinese rugby players, the total score of FMS has a strong correlation with non-contact sports injuries. The score is 13.5 for women and 15.5 for men. Level of evidence II; Therapeutic studies - investigation of treatment results.


2021 ◽  
Vol 27 (4) ◽  
pp. 400-404
Author(s):  
Lian Duan

ABSTRACT Introduction: Sports recognition technology gradually mature. Among them, wearable sensors have attracted wide attention because of their accurate recognition. Objective: The following squats are used as an example to determine whether CNN and EMG signals determine whether functional motion is standard. Methods: Based on the FMS of EMG, 80 students of the same grade are randomly selected from the Physical Education School of XX University for the experiment and the results are verified. Results: The results show that the GBC can classify the EMG signal of the three functional movements more accurately, and the classification accuracy rate of squat, stride, and straight lunge squat is 91%, 89%, and 90%, respectively. The decision tree has a good ability to judge whether the functional movement is standard or not, and the accuracy of judgment can reach more than 98%. In conclusion, EMG-based FMS can effectively detect early sports injuries and plays a good role in reducing sports injuries. Conclusions: The classification effect of the squat is the most obvious, reaching 91%, and its recognition ability is the strongest. Level of evidence II; Therapeutic studies - investigation of treatment results.


2021 ◽  
Vol 27 (7) ◽  
pp. 725-727
Author(s):  
Rongping Zhu ◽  
Rui Zhang ◽  
Bo Liu

ABSTRACT Introduction: Sports injury often occurs in sports teaching and training, which directly affects the performance of the human body function and the improvement of sports performance. Objective: To study the feasibility of improving the biorhythm in sports training injury. Methods: 120 young athletes who are engaged in track and field training in traditional track and field sports schools in Liaoning Province are taken as the research objects. The effective data of the time and types of sports injuries, and the birth date, month and date of the injured athletes during training from 2005 to 2006 were collected. Results: Results show that in the relationship between human body three rhythm and the athlete's sports injury, the probability of sports injury in triple height is smaller; regarding the biological rhythm in one or more than one period or critical period, the damage probability is 95%, showing that most athletes sports injuries occur at a low and critical period stage. Conclusions: The arrangement of sports training must be adapted to the original biological rhythm of the human body, and the corresponding monthly cycle training plan should be made according to changes that occur in athletes’ physical cycles to avoid injury during training. Level of evidence II; Therapeutic studies - investigation of treatment results.


2021 ◽  
Vol 27 (5) ◽  
pp. 456-459
Author(s):  
Nai Liu ◽  
Bichuan Liu

ABSTRACT Introduction: The integrity of articular cartilage determines the functional state of the joint. In recent years, the development of MRI sequences of various articular cartilage has become the focus of many research topics. Objective: The accuracy of diagnosis of knee cartilage injury caused by motion injury was studied retrospectively by meta-three-dimensional software. Methods: Forty-six knee joints of 45 patients with sports injuries, multi-sequence MRI was performed before surgery, including conventional knee MRI (SET1WI, FSEPD/T2WI), 3D SPGR, and 3D FIESTA sequences. Results: According to the operation results, the sensitivity, specificity, positive predictive value, and negative predictive value of 3D SPGR combined with conventional MRI sequence evaluation of cartilage damage are the highest, 73%, 98%, 95%, and 90%. Conclusions: 3D SPGR combined with conventional MRI sequences can improve accurate evaluation and diagnosis of cartilage disease over a reasonable scan time. Level of evidence II; Therapeutic studies - investigation of treatment results.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jessica B. Farley ◽  
Lily M. Barrett ◽  
Justin W. L. Keogh ◽  
Carl T. Woods ◽  
Nikki Milne

Abstract Background Understanding the relationships between physical fitness characteristics and sports injury may assist with the development of injury minimisation programs. The purpose of this systematic review was to investigate the association between physical fitness attributes and sports injury in female, team ball sport players. Methods Four scientific databases (MEDLINE, EMBASE, SPORTDiscus, Scopus) and reference lists of relevant research were searched for eligible studies up to September 2, 2019. Full-text articles examining the relationship between physical fitness and sports injury in female, team ball sport players were included. A modified Downs and Black checklist was used to assess methodological quality. Data synthesis determined summary conclusions based on the number of significant relationships divided by the total relationships investigated and reported as a percentage. Level of certainty was identified for summary conclusions based on level of evidence. Sub-analyses regarding competition level, age, and single injury types were also conducted. Results A total of 44 studies were included. Data synthesis revealed no associations (low to moderate certainty) between body composition (1/9; 11%), flexibility (18–20%), and balance (2/8; 25%) and ‘any injury’ classification. No associations (mostly of moderate certainty) were found between flexibility (0–27%), muscular strength (0–27%), and body composition (14–33%) and various body region injury classifications, whereas mixed summary conclusions were shown for balance (0-48%). Many associations between physical fitness and sports injury were deemed ‘unknown’ or with an insufficient level of certainty. Sub-analyses revealed no association between strength and noncontact ACL injuries (0/5; 0%) or ankle sprains (0/12; 0%), and between flexibility and ankle sprains (1/5; 20%); however, insufficient certainty of these results exists. Clear associations were concluded between balance and lower body injuries in female, non-elite (10/16; 63%) and junior (9/12; 75%) team ball sport players, with moderate and insufficient certainty of these results, respectively. Conclusion Limited evidence is available to demonstrate relationships between physical fitness and sports injury in female, team ball sport players. High-quality evidence investigating the multifactorial nature of sports injury, including the interactions physical fitness qualities have with other injury determinants, is needed to better understand the role of physical fitness in minimising sports injuries in female, team ball sport players. Trial Registration CRD42017077374 (PROSPERO on September 14, 2017).


2021 ◽  
Vol 15 (10) ◽  
pp. 3276-3280
Author(s):  
Şebnem Şarvan Cengiz ◽  
Büşra Yardimci ◽  
Aybüke Ulubaş

The aim of the study is to examine the effects of sports injuries experienced by adolescent athletes between the ages of 13 and 18 on their quality of life during training and competition. The universe of the study consists of licensed athletes between the ages of 13-18 who play sports at the Manisa Youth and Sports Provincial Directorate. In the study, purposeful sampling method was chosen, and the study sample consisted of 170 athletes (97 females, 73 males) with sports injuries and 90 athletes (49 females, 41 males) without sports injuries, totally 260 volunteers. The demographic information form developed by the researchers, the Adolescent Form of the Quality of Life for Children (PedsQL) developed by Varni et al. (1999), the Adolescent Form of the Age of 13-18, and the Causes of Injury in Sports Questionnaire prepared by Alkaabi (2015) were used as data collection methods. As a result, it was found that female athletes had more sports injuries in adolescent athletes than men. The number of athletes who suffered injuries in defense sports is higher than in other branches. As a result, it has been determined that sports injury negatively affects the quality of life. It was found as a result of the study data that they experienced more injuries in training than in competitions. Since the injury is mostly in the winter season and the athletes stated that they did not use protective equipment during the injury, the trainers should be informed, they should be thoughtful about taking the necessary precautions and precautions and should be offered the necessary supervision. Keywords: Adolescent athlete, injury, quality of life


2018 ◽  
Vol 53 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Rasmus Oestergaard Nielsen ◽  
Michael Lejbach Bertelsen ◽  
Daniel Ramskov ◽  
Merete Møller ◽  
Adam Hulme ◽  
...  

BackgroundTime-to-event modelling is underutilised in sports injury research. Still, sports injury researchers have been encouraged to consider time-to-event analyses as a powerful alternative to other statistical methods. Therefore, it is important to shed light on statistical approaches suitable for analysing training load related key-questions within the sports injury domain.ContentIn the present article, we illuminate: (i) the possibilities of including time-varying outcomes in time-to-event analyses, (ii) how to deal with a situation where different types of sports injuries are included in the analyses (ie, competing risks), and (iii) how to deal with the situation where multiple subsequent injuries occur in the same athlete.ConclusionTime-to-event analyses can handle time-varying outcomes, competing risk and multiple subsequent injuries. Although powerful, time-to-event has important requirements: researchers are encouraged to carefully consider prior to any data collection that five injuries per exposure state or transition is needed to avoid conducting statistical analyses on time-to-event data leading to biased results. This requirement becomes particularly difficult to accommodate when a stratified analysis is required as the number of variables increases exponentially for each additional strata included. In future sports injury research, we need stratified analyses if the target of our research is to respond to the question: ‘how much change in training load is too much before injury is sustained, among athletes with different characteristics?’ Responding to this question using multiple time-varying exposures (and outcomes) requires millions of injuries. This should not be a barrier for future research, but collaborations across borders to collecting the amount of data needed seems to be an important step forward.


2021 ◽  
Vol 27 (8) ◽  
pp. 833-836
Author(s):  
Fei Wu ◽  
Xuejun Ma ◽  
Wenjiang Zhao ◽  
Shuhua Qu

ABSTRACT 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.


2021 ◽  
Vol 27 (8) ◽  
pp. 822-825
Author(s):  
Zhangbo Xiao ◽  
Chang Sun ◽  
Jie Bai ◽  
Xingjiang Li

ABSTRACT Introduction: The study and collection of athletes’ heart function index parameters and the correct and reasonable evaluation of body functions can effectively adjust training plans and avoid athletes’ bodily exhaustion. Objective: To study the diagnosis of myocardial injury by cardiovascular monitoring in athletes from two aspects: extraction of characteristic parameters of heart function and research of signal processing. Methods: The heart function intelligent evaluation algorithm was studied by using multi-source information fusion, and embedded technology; miniature sensors were used as well. Results: The incidence of severe ventricular arrhythmia was lower in both groups. The incidence of sinus arrhythmia and intermittent second degree I atrioventricular block in the high-intensity group was significantly higher than that in the control group. The number of atrial and ventricular premature beats was lower in the control group, but increased significantly in the high-intensity group. Conclusions: This study applied the theory of multi-source information fusion to carry out representative research on the intelligent monitoring and evaluation of the heart function of elite athletes, centering on the application requirements of the heart function monitoring of elite athletes. Level of evidence II; Therapeutic studies - investigation of treatment results.


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