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Van Wouwe T, Hicks J, Delp S, Liu KC. A simulation framework to determine optimal strength training and musculoskeletal geometry for sprinting and distance running. PLoS Comput Biol 2024; 20:e1011410. [PMID: 38394308 PMCID: PMC10917303 DOI: 10.1371/journal.pcbi.1011410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 03/06/2024] [Accepted: 02/04/2024] [Indexed: 02/25/2024] Open
Abstract
Musculoskeletal geometry and muscle volumes vary widely in the population and are intricately linked to the performance of tasks ranging from walking and running to jumping and sprinting. As an alternative to experimental approaches, where it is difficult to isolate factors and establish causal relationships, simulations can be used to independently vary musculoskeletal geometry and muscle volumes, and develop a fundamental understanding. However, our ability to understand how these parameters affect task performance has been limited due to the high computational cost of modelling the necessary complexity of the musculoskeletal system and solving the requisite multi-dimensional optimization problem. For example, sprinting and running are fundamental to many forms of sport, but past research on the relationships between musculoskeletal geometry, muscle volumes, and running performance has been limited to observational studies, which have not established cause-effect relationships, and simulation studies with simplified representations of musculoskeletal geometry. In this study, we developed a novel musculoskeletal simulator that is differentiable with respect to musculoskeletal geometry and muscle volumes. This simulator enabled us to find the optimal body segment dimensions and optimal distribution of added muscle volume for sprinting and marathon running. Our simulation results replicate experimental observations, such as increased muscle mass in sprinters, as well as a mass in the lower end of the healthy BMI range and a higher leg-length-to-height ratio in marathon runners. The simulations also reveal new relationships, for example showing that hip musculature is vital to both sprinting and marathon running. We found hip flexor and extensor moment arms were maximized to optimize sprint and marathon running performance, and hip muscles the main target when we simulated strength training for sprinters. Our simulation results provide insight to inspire future studies to examine optimal strength training. Our simulator can be extended to other athletic tasks, such as jumping, or to non-athletic applications, such as designing interventions to improve mobility in older adults or individuals with movement disorders.
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Affiliation(s)
- Tom Van Wouwe
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Jennifer Hicks
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Scott Delp
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Karen C. Liu
- Department of Computer Science, Stanford University, Stanford, California, United States of America
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Felton PJ, Shine KJ, Yeadon MR, King MA. Optimal initial position and technique for the front foot contact phase of cricket fast bowling: Commonalities between individual-specific simulations of elite bowlers. J Biomech 2023; 158:111765. [PMID: 37579606 DOI: 10.1016/j.jbiomech.2023.111765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 08/16/2023]
Abstract
Group-based and individual-based studies in cricket fast bowling have identified common technique characteristics associated with ball release speed. The applicability of these findings to individual bowlers is often questioned, however, due to research approach limitations. This study aims to identify whether the optimal initial body position at front foot contact and subsequent technique to maximise ball release speed exhibit common characteristics for elite male cricket fast bowlers using individual-specific computer optimisations. A planar 16-segment whole-body torque-driven simulation model of the front foot contact phase of fast bowling was customised, evaluated, and the initial body position and subsequent movement pattern optimised, for ten elite male fast bowlers. The optimised techniques significantly increased ball release speed by 4.8 ± 1.3 ms-1 (13.5 ± 4.1%) and ranged between 37.8 and 42.9 ms-1, and in lower peak ground reaction forces and loading rates. Common characteristics were observed within the optimal initial body position with more extended front knees, as well as more flexion of the front and bowling arm shoulders than in current performances. Delays to the onset of trunk flexion, front arm and bowling arm shoulder extension, and wrist flexion were also common in the subsequent movement during the front foot contact phase. Lower front hip extensor and front shoulder flexor torques, as well as greater bowling shoulder extensor torques were also evident. This is useful knowledge for coach development, talent identification, and coaching practice.
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Affiliation(s)
- P J Felton
- School of Science and Technology, Nottingham Trent University, United Kingdom; School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom.
| | - K J Shine
- School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom; Nottinghamshire County Cricket Club, Nottingham, United Kingdom.
| | - M R Yeadon
- School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom.
| | - M A King
- School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom.
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Yeadon MR, Pain MTG. Fifty years of performance-related sports biomechanics research. J Biomech 2023; 155:111666. [PMID: 37263075 DOI: 10.1016/j.jbiomech.2023.111666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 06/03/2023]
Abstract
Over the past fifty years there has been considerable development in motion analysis systems and in computer simulation modelling of sports movements while the relevance and importance of functional variability of sports technique has become increasingly recognised. Technical developments for experimental work have led to increased, and still increasing, subject numbers. Increased subjects per study give better statistical power, the ability to utilise different data analyses, and thus the determination of more subtle and nuanced factors. The overall number of studies has also increased massively. Most actions in sport can, and have, been studied at some level with even the more challenging ones, such as player on player impacts, having some developing research. Computer simulation models of sports movements have ranged from simple (one or two segment) models to very complex musculoskeletal models and have used parameters ranging from the generic to individual-specific. Simple models have given insights into the key mechanics of movement while individual-specific model optimisations have been used to improve athlete performance. Our depth of understanding of the mechanics of sports techniques has increased across a wide range of sports. In the future there is likely to be more development and use of markerless motion capture, individual-specific model parameters, and more consideration of motor control aspects in the analysis of sports technique.
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Affiliation(s)
- M R Yeadon
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK.
| | - M T G Pain
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
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Haralabidis N, Colyer SL, Serrancolí G, Salo AIT, Cazzola D. Modifications to the net knee moments lead to the greatest improvements in accelerative sprinting performance: a predictive simulation study. Sci Rep 2022; 12:15908. [PMID: 36151260 PMCID: PMC9508344 DOI: 10.1038/s41598-022-20023-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/07/2022] [Indexed: 11/09/2022] Open
Abstract
The current body of sprinting biomechanics literature together with the front-side mechanics coaching framework provide various technique recommendations for improving performance. However, few studies have attempted to systematically explore technique modifications from a performance enhancement perspective. The aims of this investigation were therefore to explore how hypothetical technique modifications affect accelerative sprinting performance and assess whether the hypothetical modifications support the front-side mechanics coaching framework. A three-dimensional musculoskeletal model scaled to an international male sprinter was used in combination with direct collocation optimal control to perform (data-tracking and predictive) simulations of the preliminary steps of accelerative sprinting. The predictive simulations differed in the net joint moments that were left 'free' to change. It was found that the 'knee-free' and 'knee-hip-free' simulations resulted in the greatest performance improvements (13.8% and 21.9%, respectively), due to a greater knee flexor moment around touchdown (e.g., 141.2 vs. 70.5 Nm) and a delayed and greater knee extensor moment during stance (e.g., 188.5 vs. 137.5 Nm). Lastly, the predictive simulations which led to the greatest improvements were also found to not exhibit clear and noticeable front-side mechanics technique, thus the underpinning principles of the coaching framework may not be the only key aspect governing accelerative sprinting.
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Affiliation(s)
- Nicos Haralabidis
- Department for Health, University of Bath, Claverton Down, Bath, BA2 7AY, UK. .,CAMERA-Centre for the Analysis of Motion, Entertainment Research and Applications, University of Bath, Bath, UK. .,Department of Bioengineering, Stanford University, Stanford, CA, USA.
| | - Steffi L Colyer
- Department for Health, University of Bath, Claverton Down, Bath, BA2 7AY, UK.,CAMERA-Centre for the Analysis of Motion, Entertainment Research and Applications, University of Bath, Bath, UK
| | - Gil Serrancolí
- Department of Mechanical Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain
| | - Aki I T Salo
- Department for Health, University of Bath, Claverton Down, Bath, BA2 7AY, UK.,CAMERA-Centre for the Analysis of Motion, Entertainment Research and Applications, University of Bath, Bath, UK.,KIHU Finnish Institute of High Performance Sport, Jyväskylä, Finland
| | - Dario Cazzola
- Department for Health, University of Bath, Claverton Down, Bath, BA2 7AY, UK.,CAMERA-Centre for the Analysis of Motion, Entertainment Research and Applications, University of Bath, Bath, UK
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Haydon DS, Pinder RA, Grimshaw PN, Robertson WSP, Holdback CJM. Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby. Front Sports Act Living 2022; 4:856934. [PMID: 35873211 PMCID: PMC9301377 DOI: 10.3389/fspor.2022.856934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
Prediction of propulsion kinematics and performance in wheelchair sports has the potential to improve capabilities of individual wheelchair prescription while minimizing testing requirements. While propulsion predictions have been developed for daily propulsion, these have not been extended for maximal effort in wheelchair sports. A two step-approach to predicting the effects of changing set-up in wheelchair rugby was developed, consisting of: (One) predicting propulsion kinematics during a 5 m sprint by adapting an existing linkage model; and (Two) applying partial least-squares regression to wheelchair set-up, propulsion kinematics, and performance. Eight elite wheelchair rugby players completed 5 m sprints in nine wheelchair set-ups while varying seat height, seat depth, seat angle, and tire pressure. Propulsion kinematics (contact and release angles) and performance (sprint time) were measured during each sprint and used for training and assessment for both models. Results were assessed through comparison of predicted and experimental propulsion kinematics (degree differences) for Step One and performance times (seconds differences) for Step Two. Kinematic measures, in particular contact angles, were identified with mean prediction errors less than 5 degrees for 43 of 48 predictions. Performance predictions were found to reflect on-court trends for some players, while others showed weaker prediction accuracy. More detailed modeling approaches that can account for individual athlete activity limitations would likely result in improved accuracy in propulsion and performance predictions across a range of wheelchair sports. Although this would come at an increased cost, developments would provide opportunities for more suitable set-ups earlier in an athlete's career, increasing performance and reducing injury risk.
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Affiliation(s)
- David S. Haydon
- South Australian Sports Institute, Kidman Park, SA, Australia
- Faculty of Sciences, Engineering, and Technology, University of Adelaide, Adelaide, SA, Australia
- *Correspondence: David S. Haydon
| | - Ross A. Pinder
- Faculty of Sciences, Engineering, and Technology, University of Adelaide, Adelaide, SA, Australia
- Paralympic Innovation, Paralympics Australia, Adelaide, SA, Australia
| | - Paul N. Grimshaw
- Faculty of Sciences, Engineering, and Technology, University of Adelaide, Adelaide, SA, Australia
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - William S. P. Robertson
- Faculty of Sciences, Engineering, and Technology, University of Adelaide, Adelaide, SA, Australia
| | - Connor J. M. Holdback
- Faculty of Sciences, Engineering, and Technology, University of Adelaide, Adelaide, SA, Australia
- Paralympic Innovation, Paralympics Australia, Adelaide, SA, Australia
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Optimized Simulation of Upper Body Timing on the Production of Bat-Head Speed in Baseball Batting. J Appl Biomech 2022; 38:103-110. [PMID: 35276665 DOI: 10.1123/jab.2021-0135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 01/14/2022] [Accepted: 01/21/2022] [Indexed: 11/18/2022]
Abstract
The objectives of this study were to (1) investigate the effect of the timing of the upper body joint motions in baseball batting on the bat-head speed and (2) develop and evaluate a simulation model inputting the individual hand forces on the bat. Twenty-three male collegiate baseball players performed tee batting set at waist height. A 10-segment angle-driven simulation model consisting of a bat and upper body was driven using the coordinate data of the standard motion. Performance optimization was conducted by changing the timing of the joint angle time histories of the upper body to increase the maximum bat-head speed. The optimization simultaneously estimated the individual hand forces by polynomial approximation dependent on the total bat forces to assess joint torques of the upper body. The bat-head speed increased to 39.2 m/s from 35.6 m/s, and the optimized timings were characterized by the earlier timing of the barrel-side elbow supination, wrist radial flexion, torso right lateral flexion, and the later timing of the barrel-side shoulder abduction. It is concluded that the skillful coordination of the individual joint movements for the upper body can produce a higher bat-head speed through effective sequencing of proximal to distal movements.
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Abstract
In this work, we develop and calibrate a model to represent the trajectory of a badminton shuttlecock and use it to investigate the influence of serve height in view of a new serve rule instated by the Badminton World Federation. The new rule means that all players must launch the shuttlecock below a height of 1.15 m, as opposed to the old rule whereby the required launch height was under the rib cage of the server. The model is based on a forward dynamics model of ballistic trajectory with drag, and it is calibrated with experimental data. The experiments also served to determine the actual influence of the new rule on the shuttlecock launch position. The model is used in a Monte Carlo simulation to determine the statistical influence of the new serve rules on the player’s ability to perform good serves; i.e., serves with little opportunity for the receiver to attack. We conclude that, for the female player in question, serving below a height of 1.15 m makes it marginally more difficult to perform excellent serves. We also conclude that there might be alternative launch positions that would be less likely to produce the best serves but could be exploited as a tactical option.
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