Search Results - "mathematic-logical model"

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  1. 1

    Identification of lower limb muscle fatigue in basketball players based on sEMG signals

    Ma, X., Chen, S., Li, Q.
    Published in Frontiers in Physiology (2025)
    “…mathematic-logical model…”
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  2. 2

    A professional assessment of training plans for muscle hypertrophy and maximal strength developed by generative artificial intelligence

    Havers, T., Jelonnek, C., Masur, L., Isenmann, E., Sperlich, B., Geisler, S., Düking, P.
    Published in Biology of Sport (2025)
    “…mathematic-logical model…”
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  3. 3

    Reliability of the durability concept in professional cyclists: a field-based study

    Mateo-March, M., Barranco-Gil, D., Hernández-Belmonte, A., Javaloyes, A., Muriel, X., Pallarés, J. G., Lucia, A., Valenzuela, P. L. “…mathematic-logical model…”
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  4. 4

    Classification of success/failure in weightlifting snatch using a machine learning model based on barbell kinematics

    Kim, S., Moon, J. “…mathematic-logical model…”
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  5. 5

    The impact of sample size on reliability metrics stability in isokinetic strength assessments: does size matter?

    Warneke, K., Keiner, M., Wallot, S., Siegel, S., D., Günther, C., Wirth, K., Puschkasch-Möck, S. “…mathematic-logical model…”
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  6. 6

    Detecting muscle fatigue during lower limb isometric contractions tasks: a machine learning approach

    Sun, J., Zhang, C., Liu, G., Cui, W., Sun, Y., Zhang, C.
    Published in Frontiers in Physiology (2025)
    “…mathematic-logical model…”
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  7. 7

    Machine learning prediction of pulmonary oxygen uptake from muscle oxygen in cycling

    Li, N., Hu, W., Ma, Y., Xiang, H.
    Published in Journal of Sports Sciences (2024)
    “…mathematic-logical model…”
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  8. 8

    Monitoring external load during real competition in male handball players through big data analytics: Differences by playing positions

    Manchado, C., Tortosa-Martinez, J., Marcos-Jorquera, D., Gilart-Iglesias, V., Pueo, B., Chirosa-Rios, L. J.
    Published in Kinesiology (2024)
    “…mathematic-logical model…”
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  9. 9

    A fast gradient convolution kernel compensation method for surface electromyogram decomposition

    Lin, C., Cui, Z., Chen, C., Liu, Y., Chen, C., Jiang, N. “…mathematic-logical model…”
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  10. 10

    Reliability of recovery heart rate variability measurements as part of the Lamberts Submaximal Cycle Test and the relationship with training status in trained to elite cyclists

    Lamberts, R. P., van Erp, T., Javaloyes, A., Eken, M. M., Langerak, N. G., Tam, N. “…mathematic-logical model…”
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  11. 11

    Maximal forces for peak height and flight distance on vault in mens artistic gymnastics?

    Lehmann, T., Knoll, K., Naundorf, F., Seemann-Sinn, A.
    Published in Science of Gymnastics Journal (2024)
    “…mathematic-logical model…”
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  12. 12

    Modelling of a cyclist`s power for time trials on a velodrome

    Bos, L., Slawinski, M. A., Slawinski, R. A., Stanoev, T.
    Published in Sports Engineering (2024)
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  13. 13

    Running functional threshold versus critical power: Same concept but different values

    Ñancupil-Andrade, A. A., Ruiz-Alias, S. A., Pérez-Castilla, A., Jaén-Carrillo, D., García-Pinillos, F. “…mathematic-logical model…”
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  14. 14

    Estimation of anaerobic threshold with dynamic transfer function models based on heart rate and power in cycling

    Stessens, L., Jean-Marie, A.
    Published in Journal of Science and Cycling (2023)
    “…mathematic-logical model…”
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  15. 15

    Lower limb muscle activity during first and second tennis serves: a comparison of three surface electromyography normalisation methods

    Hansen, C., Teulier, C., Micallef, J.-P., Millet, G. P., Girard, O.
    Published in Sports Biomechanics (2023)
    “…mathematic-logical model…”
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  16. 16

    Comparison of different machine learning models to enhance sacral acceleration-based estimations of running stride temporal variables and peak vertical ground reaction force

    Patoz, A., Lussiana, T., Breine, B., Grindre, C., Malatesta, D.
    Published in Sports Biomechanics (2025)
    “…mathematic-logical model…”
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  17. 17

    A narrative review of personalized musculoskeletal modeling using the physiome and musculoskeletal atlas projects

    Fernandez, J., Shim, V., Schneider, M., Choisne, J., Handsfield, G., Yeung, T., Zhang, J., Hunter, P., Besier, T.
    Published in Journal of Applied Biomechanics (2023)
    “…mathematic-logical model…”
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  18. 18

    The calculation of player speed from tracking data

    Wu, L. Y., Swartz, T. B. “…mathematic-logical model…”
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  19. 19

    Neuromusculoskeletal model calibration accounts for differences in electromechanical delay and maximum isometric muscle force

    Savage, T. N., Saxby, D. J., Lloyd, D. G., Pizzolato, C.
    Published in Journal of Biomechanics (2023)
    “…mathematic-logical model…”
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  20. 20

    Prediction of aerobic and anaerobic capacity from selected oxidative stress parameters, muscle damage indices and inflammatory markers in soccer and hockey players

    Sarkar, S., Kr Dey, S., Datta, G., Bandyopadhyay, A. “…mathematic-logical model…”
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