Muscle and tendon tissue properties of competitive soccer goalkeepers and midfielders

Konrad, Andreas; Tilp, Markus

doi:10.1007/s12662-018-0510-7

Cited by 8 publications

(6 citation statements)

References 28 publications

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“…The subgroup analysis of the activity level revealed no significant difference between ( P = 0.250; Q = 1.322) and within the activity levels (physical active vs. well-trained/professional) when comparing the acute effects of stretching with foam rolling on performance parameters. This was a surprising finding since previous studies reported (Arampatzis et al, 2007 ; Konrad and Tilp, 2018 ) that well-trained athletes had a different muscle architecture and/or strength parameters compared to their non-active peers. Moreover, Donti et al ( 2019 ) found that following a 60 s static stretching intervention of two different athletes' groups (rhythmic gymnasts and volleyball players) the ROM increased.…”

Section: Discussionmentioning

confidence: 86%

A Comparison of the Effects of Foam Rolling and Stretching on Physical Performance. A Systematic Review and Meta-Analysis

2021

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Foam rolling and stretching with its various techniques are frequently used as a warm-up routine to increase the range of motion of a joint. While the magnitude of the changes in range of motion between foam rolling and stretching (static and dynamic techniques) is similar, it is not clear if this also holds true for performance parameters (e.g., strength, jump height). The purpose of this meta-analysis was to compare the effects of an acute bout of foam rolling (with and without vibration) with an acute bout of stretching (with all techniques included) on performance parameters in healthy participants. We assessed the results from 13 studies and 35 effect sizes by applying a random-effect meta-analysis. Moreover, by applying a mixed-effect model, we performed subgroup analyses with the stretching technique, type of foam rolling, tested muscle, treatment duration, and type of task. We found no significant overall effect, and the analysis revealed only a trend of the performance parameters in favor of foam rolling when compared to stretching (when considering all techniques). Significantly favorable effects of foam rolling on performance were detected with subgroup analyses when compared to static stretching, when applied to some muscles (e.g., quadriceps) or some tasks (e.g., strength), when applied for longer than 60 s, or when the foam rolling included vibration. When foam rolling was compared to dynamic stretching or applied in the non-vibration mode, the same magnitude of effect was observed. While the present meta-analysis revealed no significantly different effect between foam rolling and stretching (including all techniques) prior to exercise, differences could be observed under specific conditions.

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Section: Discussionmentioning

confidence: 86%

A Comparison of the Effects of Foam Rolling and Stretching on Physical Performance. A Systematic Review and Meta-Analysis

2021

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“…Our subjects reflected a recreationally trained cohort; therefore, results cannot be transferred to elite or highly trained athletes. Previous studies have reported that elite or highly trained athletes have another muscle-tendon structure (e.g., stiffness [8]) as well as function (e.g., strength [40]) compared with the recreational trained or non-athletes.…”

Section: Discussionmentioning

confidence: 99%

No Association between Jump Parameters and Tissue Stiffness in the Quadriceps and Triceps Surae Muscles in Recreationally Active Young Adult Males

Konrad

Paternoster

2022

Applied Sciences

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While the main contributor for drop jump (DJ) performance is the calf muscle–tendon unit (MTU), for countermovement jump (CMJ) performance, it is the quadriceps MTU. However, to date, it is not clear if the muscle and/or tendon stiffness of the respective MTUs can be related to DJ or CMJ performance. Therefore, the purpose of this study was to investigate the relationships between DJ and CMJ performance parameters and tissue stiffness (i.e., muscle stiffness, tendon stiffness) of the calf MTU and quadriceps MTU, respectively. Consequently, with 16 healthy volunteers, the tissue stiffness of the gastrocnemius medialis (GM), gastrocnemius lateralis (GL) Achilles tendon (AT), vastus medialis (VM), vastus lateralis (VL), rectus femoris (RF), and patellar tendon (PT) were recorded with a Myoton device. Moreover, DJ and CMJ performances were assessed with a force plate. The alpha level was set to 0.05. Pearson correlation coefficients revealed no significant association between DJ performance and GM, GL, or AT stiffness (−0.07 to 0.24; p > 0.05). Similarly, no association was found between CMJ performance parameters and VM, VL, RF, or PT stiffness (−0.13–0.36; p > 0.05). According to our results, other variables, such as jump technique, body weight, or strength, were likely play a more important role in DJ and CMJ performance.

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“…As the state-of-the-art shows, soccer goalkeepers are a category typically neglected in kinematics assessment studies. This is due to the fact that there is always a trade-off to be made between: 1) the accuracy of lab assessment [6], [12] and the unreliability and variability of the on-field assessment [14], [15]; 2) the number and type of sensors used for the assessment [16], [18]; 3) the measured kinematic quantities [1], [10], [25], [42]; 4) the type of data features used in the analysis [28], [29] and their capability to capture a complete motion profile [11], [36]; 5) the complexity and parametrization of the data processing algorithms [39], [40] versus their explainability; and, finally, 6) the amount of resources invested in goalkeeper's training.…”

Section: Motivation Of the Studymentioning

confidence: 99%

“…At the top of the solution hierarchy, machine learning methods exploit directly the probabilistic structure and peculiarities of raw data [14], [38], [40], [42], thus, alleviating the need to model data and, eventually, hand-craft heuristics which will only be limited in applicability [13], [25]. Our motivation is to use machine learning to understand goalkeeper's kinematics in order to materialize complex analytics.…”

Section: Motivation Of the Studymentioning

confidence: 99%

Less is More: End-to-end Learning of Insights from a Single Motion Sensor for Accurate and Explainable Soccer Goalkeeper Kinematics

Lisca¹,

Prodaniuc²,

Grauschopf³

et al. 2021

Preprint

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<div>On-field sensor-based soccer player tracking solutions are emerging and provide new insights into the dynamics of the player during training or a match. Yet, not all player positions are equally privileged. Goalkeepers’ training and performance assess- ment were for a long time ignored. Understanding what is ”the side of the post where most high dives were performed” provides valuable input for both the trainer and the athlete to improve perfor- mance or avoid injuries. In the current study, we focus on a practical methodology to extract insights from goalkeeper kinematics to inform such analytics. We demonstrate that information from a single motion sensor can be successfully used for learning patterns in goalkeeper’s motion and provide an explainable goalkeeper kine- matics assessment. We employed raw and quaternions data and we evaluated a series of machine learning algorithms that discriminate dive types (i.e. binary classification) and dives from other types of specific motions (i.e. multi-class classification) directly from the data. Our results demonstrate that XGBoost outperforms other approaches in terms of performance when considering both raw and quaternions, essentially benefiting from both types of data. Additionally, each prediction of the model is accompanied by an explanation of how each sensed motion component contributes to describing a specific goalkeeper’s action captured by the model. The explainable predictions along with the efficient deployment of XGboost were decisive in our applied study. We evaluated our methodology on a first batch of experiments using online available data from 7 goalkeepers during 30 minutes-long training sessions.<br></div>

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Muscle and tendon tissue properties of competitive soccer goalkeepers and midfielders

Cited by 8 publications

References 28 publications

A Comparison of the Effects of Foam Rolling and Stretching on Physical Performance. A Systematic Review and Meta-Analysis

A Comparison of the Effects of Foam Rolling and Stretching on Physical Performance. A Systematic Review and Meta-Analysis

No Association between Jump Parameters and Tissue Stiffness in the Quadriceps and Triceps Surae Muscles in Recreationally Active Young Adult Males

Less is More: End-to-end Learning of Insights from a Single Motion Sensor for Accurate and Explainable Soccer Goalkeeper Kinematics

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