ArticleEuropean journal of applied physiology2015
Modeling of performance and ANS activity for predicting future responses to training.
Article in European journal of applied physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Differentiating acute fatigue and overreaching during intensified training using a recursive least squares algorithm combined with the variable dose-response model.European journal of applied physiology · 2025Article
- The Use of Fitness-Fatigue Models for Sport Performance Modelling: Conceptual Issues and Contributions from Machine-Learning.Sports medicine - open · 2022Article
- Heart Rate Variability After Sprint Interval Training in Cyclists and Implications for Assessing Physical Fatigue.Journal of strength and conditioning research · 2022Article
- Training load responses modelling and model generalisation in elite sports.Scientific reports · 2022Article
- An Attempt to Predict Changes in Heart Rate Variability in the Training Intensification Process among Cyclists.International journal of environmental research and public health · 2021Article
- Cardiac Autonomic Modulation in Response to Muscle Fatigue and Sex Differences During Consecutive Competition Periods in Young Swimmers: A Longitudinal Study.Frontiers in physiology · 2021Article
- Daily Resting Heart Rate Variability in Adolescent Swimmers during 11 Weeks of Training.International journal of environmental research and public health · 2020Article
- Modeling Stress-Recovery Status Through Heart Rate Changes Along a Cycling Grand Tour.Frontiers in neuroscience · 2020Article
- Modelling the HRV Response to Training Loads in Elite Rugby Sevens Players.Journal of sports science & medicine · 2018Article
- Can the use of a single integrated unitary autonomic index provide early clues for eventual eligibility for olympic games?European journal of applied physiology · 2018Article
- From an indirect response pharmacodynamic model towards a secondary signal model of dose-response relationship between exercise training and physical performance.Scientific reports · 2017Article
- Discriminating between two autonomic profiles related to posture in Olympic athletes.European journal of applied physiology · 2016Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeOur aim was to assess whether we can predict satisfactorily performance in swimming and high frequency power (HF power) of heart rate variability from the responses to previous training. We have tested predictions using the model of Banister and the variable dose-response model.
methodsData came from ten swimmers followed during 30 weeks of training with performance and HF power measured each week. The first 15-week training period was used to estimate the parameters of each model for both performance and HF power. Both were then predicted in response to the training done during the second 15-week training period. The bias and precision were estimated from the mean and SD of the difference between prediction and actual value expressed as a percentage of performance or HF power at the first week.
resultsWith the variable-dose response model, the bias for performance prediction was -0.24 ± 0.06 and the precision 0.69 ± 0.24% (mean ± between-subject SD). For HF power, the bias was 0 ± 21 and the precision 22 ± 8%. When HF power was transformed into performance using a quadratic relation in each swimmer established from the first 15-week period, the bias was 0.18 ± 0.74 and the precision 0.80 ± 0.30%. No clear trend in the error was observed during the second period.
conclusionsThis study showed that the modeling of training effects on performance allowed accurate performance prediction supporting its relevance to control and predict week after week the responses to future training.
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