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1

Accelerating performance: Reliability of phase-specific measurements in elite speed skaters` 100-meter starts

Stuart, A. C., Suchomel, T. J., McKeever, S. M., Tufano, J. J., Cochrane-Snyman, K. C.
Published in Measurement in Physical Education and Exercise Science (2025)

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2

Automatic detection of skate strokes in short-track speed skating using one single IMU: validation of a new method

Clément, J., Croteau, F., Gagnon, M., Cros, S.
Published in Sports Biomechanics (2024)

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3

Monitoring training load and identifying fatigue in young elite speed skaters using machine learning methods

Bolten, M.
Published 2024

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4

Using wearable sensors to estimate mechanical power output in cyclical sports other than cycling - a review

de Vette, V. G., Veeger, D., van Dijk, M. P.
Published in Sensors (2023)

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5

Predicting the personal-best times of speed skaters using case-based reasoning

Smyth, B., Willemsen, M. C.
Published in Case-Based Reasoning Research and Development. ICCBR 2020 (2020)

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6

Prediction of personalized speed skating results using Case-Based Reasoning

Bergman, O. A.
Published 2019

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7

Getting in shape: Reconstructing three-dimensional long-track speed skating kinematics by comparing several body pose reconstruction techniques

van der Kruk, E., Schwab, A. L., van der Helm, F. C. T., Veeger, H. E. J.
Published in Journal of Biomechanics (2018)

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