2020
DOI: 10.51248/.v40i3.36
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Effectiveness of isolated ankle strengthening and functional balance training in single leg drop jump land in football players and measuring the stability

Abstract: Introduction and Aim: Football is one of the famous sports in the world and associated with many ankle injuries in football players. Many football players use single leg drop jump landing ranging from 13 to 20 out of 1000 players. Functional balance maintain or improve activities of daily living and quality of life. Strength training increases the density of bone and reduces the risk of fractures. Aim of this present study is to analyze the effectiveness of the isolated ankle strengthening and functional balan… Show more

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Cited by 4 publications
(2 citation statements)
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“…Vaishnavi experts put forward that the most vulnerable part of football players is the ankle. During training, strength training in the way of one-foot high jump and landing can reduce the risk of fracture and increase bone density [ 4 ]. Narizuka et al select the spatial evaluation to complete the analysis of football game.…”
Section: Related Workmentioning
confidence: 99%
“…Vaishnavi experts put forward that the most vulnerable part of football players is the ankle. During training, strength training in the way of one-foot high jump and landing can reduce the risk of fracture and increase bone density [ 4 ]. Narizuka et al select the spatial evaluation to complete the analysis of football game.…”
Section: Related Workmentioning
confidence: 99%
“…The cluster implementer can summarize the final clusters and find the characteristics of each cluster [13]. A good cluster analysis algorithm is to improve the similarity of objects within the same cluster as much as possible and reduce the similarity between different clusters, and a suitable metric can be selected for the measure of similarity [14,15] (3) Classification: first, selecting the training set that has been classified from the data, and using the data mining classification technology on the training set to establish a classification model. Classifying unclassified data, for example, credit card applicants can be classified as low-, medium-, and high-risk levels (4) Association rules: association analysis is used to explore the association between different data items in data records and generate association rules between data items.…”
Section: Data Mining Algorithms Football Anklementioning
confidence: 99%