Search Results - Heijboer, M.
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Athlete monitoring in professional road cycling using similarity search on time series data
de Leeuw, A. W., Oberkofler, T., Heijboer, M., Knobbe, A.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (2022)“…Heijboer, M.…”
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Fragile bones of elite cyclists: to treat or not to treat?
Hilkens, L., Knuiman, P., Heijboer, M., Kempers, R., Jeukendrup, A. E., van Loon, L. J. C., van Dijk, J. W.Published in Journal of Applied Physiology (2021)“…Heijboer, M.…”
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Load ratios during a cycling Grand Tour: detecting fatigue?
Sanders, D., Heijboer, M., Hesselink, M. K., Myers, T., Akubat, I.Published in Journal of Science and Cycling (2017)“…Heijboer, M.…”
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Predicting high-power performance in professional cyclists
Sanders, D., Heijboer, M., Akubat, I., Meijer, K., Hesselink, M. K.Published in International Journal of Sports Physiology and Performance (2017)“…Heijboer, M.…”
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cycling
performance
load
road cycling
anaerobic
high performance sport
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analysis
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diagnostics
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fatigue
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heart rate
load intensity
load volume
male
maximum
nutrition
parameter
performance reserves
prevention
prognosis
sports medicine
training
training control