The impact of different training load quantification and modelling methodologies on performance predictions in elite swimmers-Reference-Cited by-同舟云学术

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The impact of different training load quantification and modelling methodologies on performance predictions in elite swimmers

Published:2020-02-04 Issue:10 Volume:20 Page:1329-1338
ISSN:1746-1391
Container-title:European Journal of Sport Science
language:en
Short-container-title:European Journal of Sport Science

Author:

Mitchell Lachlan J. G.¹²³^ORCID,Rattray Ben²⁴,Fowlie John¹,Saunders Philo U.¹²,Pyne David B.¹²^ORCID

Affiliation:

1. Australian Institute of Sport, Bruce, Australia

2. Research Institute for Sport and Exercise, University of Canberra, Bruce, Australia

3. Queensland Academy of Sport, Nathan, Australia

4. Discipline of Sport and Exercise Science, Faculty of Health, University of Canberra, Bruce, Australia

Publisher

Informa UK Limited

Subject

Orthopedics and Sports Medicine,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/17461391.2020.1719211

Reference31 articles.

1. Modeling the Training-Performance Relationship Using a Mixed Model in Elite Swimmers

2. Transient analysis of deterministic and stochastic Petri nets with concurrent deterministic transitions

3. Fitting Linear Mixed-Effects Models Usinglme4

4. The Quantification of Training Load, the Training Response and the Effect on Performance

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1. Design of an Olympic performance prediction system based on optical sensing technology and facial expression recognition;2024-01-19

2. Training Load and Acute Performance Decrements Following Different Training Sessions;International Journal of Sports Physiology and Performance;2023-03-01

3. Validity and Accuracy of Impulse-Response Models for Modeling and Predicting Training Effects on Performance of Swimmers;Medicine & Science in Sports & Exercise;2023-02-07

4. The Fitness–Fatigue Model: What’s in the Numbers?;International Journal of Sports Physiology and Performance;2022-05-01

5. The Current State of Subjective Training Load Monitoring: Follow-Up and Future Directions;Sports Medicine - Open;2022-04-15

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