Post-match recovery of eccentric knee flexor strength in male professional football players

Bueno, César Augusto Bueno; Ribeiro-Alvares, João Breno de Araujo; Oliveira, Gabriel dos Santos; Grazioli, Rafael; Veeck, Filipe; Pinto, Ronei Silveira; Cadore, Eduardo Lusa; Baroni, Bruno Manfredini

doi:10.1016/j.ptsp.2020.11.032

Cited by 9 publications

(12 citation statements)

References 37 publications

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“…Our results, indicating deficits of 9.9-15.7% from a relatively large sample identified strength decreases in excess of those regarded as substantial for injury risk (Paul et al, 2014;Wollin et al, 2018) and clearly greater than the typical error associated with the measurement system (6.3%) (Ryan et al, 2019). This in conjunction with previous research, may indicate an increased injury risk during congested fixture periods (Bueno et al, 2021;Carling et al, 2016;Constantine et al, 2019;Wollin et al, 2018), as players may be participating in matches with residual localised fatigue from previous activity (Silva et al, 2018). Figure 2 illustrates that there were inter-individual hip strength differences at all time points, with some participants experiencing more fatigue than others.…”

Section: Isometric Hip Strengthsupporting

confidence: 73%

“…dose-response). Previous studies have identified a reduction in eccentric hamstring peak torque or strength of 12-20% after acute soccer activity, which may elevate hamstring injury risk late in matches and the following 48-72hrs (Bueno et al, 2021;Constantine et al, 2019;Huygaerts et al, 2020;Small et al, 2010). However, no studies to our knowledge have explored the combination of isometric hip and eccentric hamstring strength to offer a more complete insight into the lower limbdose-response.…”

Section: Introductionmentioning

confidence: 99%

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The impact of simulated soccer match-play on hip and hamstring strength in academy soccer players

Salter¹,

Cresswell²,

Forsdyke

2021

Science and Medicine in Football

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Section: Isometric Hip Strengthsupporting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

The impact of simulated soccer match-play on hip and hamstring strength in academy soccer players

Salter¹,

Cresswell²,

Forsdyke

2021

Science and Medicine in Football

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“…However, high-intensity NHE training can be hardly carried out with the support of a single partner because the partner’s capacity to stabilize may affect the athlete’s ability to maximally perform the exercise and may limit the benefits of the NHE [ 12 , 61 , 65 ]. Therefore, several devices have been used to ensure a safe NHE execution via a rigid resistance at the heels: the NordBord (from prototype [ 66 ] to commercial product [ 67 ]), related products [ 26 , 48 , 68 , 69 ], several custom-made devices [ 18 , 22 , 44 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 ], usual training equipment [ 78 , 79 , 80 ], and a dynamometer [ 6 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

Quo Vadis Nordic Hamstring Exercise-Related Research?—A Scoping Review Revealing the Need for Improved Methodology and Reporting

Alt¹,

Severin

Schmidt

2022

IJERPH

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The objective of this scoping review is to assess Nordic Hamstring Exercise quality (ANHEQ) of assessments and interventions according to the ANHEQ rating scales and to present practical recommendations for the expedient design and reporting of future studies. A total of 71 Nordic Hamstring Exercise (NHE) assessments and 83 NHE interventions were selected from the data sources PubMed, Scopus, and SPORTDiscus. Research studies which were presented in peer-reviewed academic journals and implemented the NHE during laboratory-based assessments or multi-week interventions met the eligibility criteria. NHE assessments analyzed force (51%), muscle activation (41%), knee angle kinematics (38%), and bilateral symmetry (37%). NHE interventions lasted 4–8 weeks (56%) and implied an exercise volume of two sessions per week (66%) with two sets per session (41%) and ≥8 repetitions per set (39%). The total ANHEQ scores of the included NHE assessments and interventions were 5.0 ± 2.0 and 2.0 ± 2.0 (median ± interquartile range), respectively. The largest deficits became apparent for consequences of impaired technique (87% 0-point-scores for assessments) and kneeling height (94% 0-point-scores for interventions). The 0-point-scores were generally higher for interventions compared to assessments for rigid fixation (87% vs. 34%), knee position (83% vs. 48%), kneeling height (94% vs. 63%), and separate familiarization (75% vs. 61%). The single ANHEQ criteria, which received the highest score most frequently, were rigid fixation (66% of assessments) and compliance (33% of interventions). The quality of NHE assessments and interventions was generally ‘below average’ or rather ‘poor’. Both NHE assessments and interventions suffered from imprecise reporting or lacking information regarding NHE execution modalities and subsequent analyses. Based on the findings, this scoping review aggregates practical guidelines how to improve the design and reporting of future NHE-related research.

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“…Football requires high physical fitness of athletes, especially strong jumping ability, which is an indispensable skill for shooting. It not only requires athletes' leg strength, but also other parts of the body (Bueno et al, 2021 ). The functional training of football refers to the realization of specific sports functions of the body for football (Teixeira et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Application of Deep Learning Technology in Strength Training of Football Players and Field Line Detection of Football Robots

Zhou

Chen

2022

Front. Neurorobot.

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The purpose of the study is to improve the performance of intelligent football training. Based on deep learning (DL), the training of football players and detection of football robots are analyzed. First, the research status of the training of football players and football robots is introduced, and the basic structure of the neuron model and convolutional neural network (CNN) and the mainstream framework of DL are mainly expounded. Second, combined with the spatial stream network, a CNN-based action recognition system is constructed in the context of artificial intelligence (AI). Finally, by the football robot, a field line detection model based on a fully convolutional network (FCN) is proposed, and the effective applicability of the system is evaluated. The results demonstrate that the recognition effect of the dual-stream network is the best, reaching 92.8%. The recognition rate of the timestream network is lower than that of the dual-stream network, and the maximum recognition rate is 88%. The spatial stream network has the lowest recognition rate of 86.5%. The processing power of the four different algorithms on the dataset is stronger than that of the ordinary video set. The recognition rate of the time-segmented dual-stream fusion network is the highest, which is second only to the designed network. The recognition rate of the basic dual-stream network is 88.6%, and the recognition rate of the 3D CNN is the lowest, which is 86.2%. Under the intelligent training system, the recognition accuracy rates of jumping, kicking, grabbing, and starting actions range to 97.6, 94.5, 92.5, and 89.8% respectively, which are slightly lower than other actions. The recognition accuracy rate of passing action is 91.3%, and the maximum upgrade rate of intelligent training is 25.7%. The pixel accuracy of the improved field line detection of the model and the mean intersection over union (MIoU) are both improved by 5%. Intelligent training systems and the field line detection of football robots are more feasible. The research provides a reference for the development of AI in the field of sports training.

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Post-match recovery of eccentric knee flexor strength in male professional football players

Cited by 9 publications

References 37 publications

The impact of simulated soccer match-play on hip and hamstring strength in academy soccer players

The impact of simulated soccer match-play on hip and hamstring strength in academy soccer players

Quo Vadis Nordic Hamstring Exercise-Related Research?—A Scoping Review Revealing the Need for Improved Methodology and Reporting

Application of Deep Learning Technology in Strength Training of Football Players and Field Line Detection of Football Robots

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