Innovative approaches to injury prevention and performance enhancement in running: insights from PhD research on hamstring strengthening, running biomechanics and energetics, and wearable technology (PhD Academy Award) DOI
Bas Van Hooren

British Journal of Sports Medicine, Journal Year: 2024, Volume and Issue: unknown, P. bjsports - 109159

Published: Oct. 21, 2024

Language: Английский

Optimizing Resistance Training for Sprint and Endurance Athletes: Balancing Positive and Negative Adaptations DOI Creative Commons
Bas Van Hooren, Per Aagaard, Anthony J. Blazevich

et al.

Sports Medicine, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 7, 2024

Abstract Resistance training (RT) triggers diverse morphological and physiological adaptations that are broadly considered beneficial for performance enhancement as well injury risk reduction. Some athletes coaches therefore engage in, or prescribe, substantial amounts of RT under the assumption continued increments in maximal strength capacity and/or muscle mass will lead to improved sports performance. In contrast, others employ minimal no may impair endurance sprint performances. However, by which might physical performance, likelihood these being evoked, program specifications promote such impairments, remain largely undefined. Here, we discuss how selected enhance speed performances while also addressing variables likely occur. Specifically, argue some myofibrillar (muscle) hypertrophy can be increasing maximum strength, macro- microscopic increases body (or limb) internal moment arms might, conditions, both Further, changes architecture, fiber typology, structure, intra- intermuscular coordination with maximize at expense endurance, speed. The effect further considering adaptive trade-offs practical implications discussed this review. Graphical abstract

Language: Английский

Citations

4

Comparison of Ground Reaction Forces and Net Joint Moment Predictions: Skeletal Model Versus Artificial Neural Network-Based Approach DOI
Juan Cordero-Sánchez, Bruno Bazuelo-Ruiz, Pedro Pérez‐Soriano

et al.

Journal of Applied Biomechanics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: Jan. 1, 2025

Artificial neural networks (ANNs) are becoming a regular tool to support biomechanical methods, while physics-based models widespread understand the mechanics of body in motion. Thus, this study aimed demonstrate accuracy recurrent ANN compared with approach task predicting ground reaction forces and net lower limb joint moments during running. An inertial motion capture system force plate were used collect running biomechanics data for training ANN. Kinematic from optical systems, sourced publicly available databases, evaluate prediction performance The linear angular momentum theorems applied compute approach. main finding indicates that tends outperform significantly ( P < .05) at similar higher velocities which was trained, specifically anteroposterior, vertical, mediolateral forces, as well knee ankle flexion moments, hip abduction rotation moments. Furthermore, demonstrates trained can be predict kinetic kinematics obtained different experimental techniques sources.

Language: Английский

Citations

0

Innovating physical education with artificial intelligence: a potential approach DOI Creative Commons
Bin Cui, Wei Jiao, Shengxi Gui

et al.

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16

Published: April 10, 2025

Language: Английский

Citations

0

Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy DOI Creative Commons
Adrian Rodriguez Rivadulla, Xi Chen, Dario Cazzola

et al.

Sports Biomechanics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24

Published: July 11, 2024

Establishing the links between running technique and economy remains elusive due to high inter-individual variability. Clustering runners by may enable tailored training recommendations, yet it is unclear if different techniques are equally economical whether clusters speed-dependent. This study aimed identify of based on compare cluster kinematics economy. Additionally, we examined agreement clustering partitions same at speeds. Trunk lower-body were captured from 84 trained speeds a treadmill. We used Principal Component Analysis for dimensionality reduction agglomerative hierarchical groups with similar technique, evaluated across independently produced partitions, suggesting single speed can fail capture full profile runner. The two identified using data whole range showed differences in pelvis tilt duty factor. In self-optimisation theories, there no economy, participants' characteristics clusters. Considering variability enhance efficacy designs as opposed 'one size fits all' approaches.

Language: Английский

Citations

1

Innovative approaches to injury prevention and performance enhancement in running: insights from PhD research on hamstring strengthening, running biomechanics and energetics, and wearable technology (PhD Academy Award) DOI
Bas Van Hooren

British Journal of Sports Medicine, Journal Year: 2024, Volume and Issue: unknown, P. bjsports - 109159

Published: Oct. 21, 2024

Language: Английский

Citations

1