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  1. 1

    What it takes to win: examining predicted versus actual swimming performances at the Paris 2024 Olympic Games, and what comes next

    Powell, C, Pyne, D, Crowley, E, Mujika, I.
    Published in International Journal of Sports Physiology and Performance (2025)
    “…Results: Across all events, a mean absolute error value of 0.84% was observed between the Paris 2024 Olympic Games predicted and actual times. Predicted times were highly correlated with actual times (r2 = .99). …”
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  2. 2

    Investigation of the fatigue and recovery process of swimmers using perceptive, myotonometric, ergometric and biomechanical parameters

    Alves de Carvalho, F.
    Published 2025
    “…Therefore, in this study we suggest the that movement assessment along with the athlete`s perceptions, muscle properties and performance could add relevant information to the actual scenario. This study was carried out to evaluate the recovery process in swimmers from beginning to end, using massage and immersion in cold-water, which are frequently used techniques in the field. …”
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  3. 3

    Sensitivity analysis of bicycle characteristics for pavement roughness monitoring by vibration data

    Ghaderi, O., Cafiso, S., Caponnetto, R., Pappalardo, G.
    Published in Journal of Science and Cycling (2024)
    “…The vertical accelerations recorded in the field were filtered and synchronized to ensure comparability with the simulation carried out on the actual profile of the pavement roughness. The road profile was used as input to simulate the vehicle dynamics with a half car model in MATLAB Simulink. …”
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  4. 4

    Development of an IMU-based motion capture system for swimming

    Bittendorf, C., Stein, T., Sell, S., Stetter, B. J.
    Published in Current Issues in Sport Science (2024)
    “…In addition, findings from plausibility tests during actual swimming in a swimming pool are presented.…”
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  5. 5

    Is the 5-minute time-trial cycling test a valid predictor of maximal oxygen uptake an external cross-validation study

    Klitzke Borszcz, F., Tramontin, A. F., de Lucas, R. D., Costa, V. P.
    Published in International Journal of Sports Physiology and Performance (2024)
    “…Further, the study aimed to update the predictive equation using Bayesian informative prior distributions and meta-analysis. …”
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  6. 6

    Next-Generation models for predicting winning times in elite swimming events: updated predictions for the Paris 2024 Olympic Games

    Mujika, I., Pyne, D. B., Wu, P. P., Ng, K., Crowley, E., Powell, C.
    Published in International Journal of Sports Physiology and Performance (2023)
    “…The predicted times and actual times from the Budapest 2022 World Championships were highly correlated (r = .99 for both approaches). …”
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  7. 7

    Cycling modelling under uncontrolled outdoor conditions using a wearable sensor and different meteorological measurement methods

    Millour, G., Plourde-Couture, F., Domingue, F.
    Published in International Journal of Sports Science & Coaching (2023)
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  8. 8

    Analyse automatique de vidéos de course de natation elite (Automatic analysis of elite swim race videos)

    Jacquelin, N.
    Published 2022
    “…The winner is determined by small details that may seem insignificant to the uneducated eye, but are actually fundamental to gaining ground on others. In swimming in particular, many finals of important competitions end up with a difference of less than a tenth of a second between the leaders. …”
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  9. 9

    Development of a simulation model for swimming with diving fins

    Nakashima, M., Tanno, Y., Fujimoto, T., Masutani, Y.
    Published in Proceedings (2018)
    “…These plates were connected to each other by virtual springs and dampers, and fin`s bending property was represented by springs and dampers as well. An actual diver`s swimming motion with fins was acquired by a motion capture experiment. …”
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  10. 10

    An examination of the factors determining the performance of cyclists in elite competitions

    Phillips, K. E.
    Published 2020
    “…A key objective of sports performance research is to provide team managers, coaches, and athletes seeking to improve performance with information on the attributes that contribute to or predict overall success, yet the determinants of performance in actual competition remain an under-examined and under-theorised field. …”
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  11. 11

    Determinants of cycling performance: a review of the dimensions and features regulating performance in elite cycling competitions

    Phillips, K. E., Hopkins, W. G.
    Published in Sports Medicine - Open (2020)
    “…Background: A key tenet of sports performance research is to provide coaches and athletes with information to inform better practice, yet the determinants of athletic performance in actual competition remain an under-examined and under-theorised field. …”
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  12. 12

    Development of a feedback system to control power in cycling

    Mayerhofer, P., Jensen, M., Clarke, D. C., Wakeling, J., Donelan, M.
    Published in Proceedings (2020)
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  13. 13

    Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support, September 20-21, 2019, in Vienna, Austria

    J. Vilas-Boas, P. Pezarat-Correia, J. Cabri
    Published 2019
    “…Gordon; DOI:10.5220/0008165600640075 Simulation Model for Road Cycling Time Trials with a Non-constant Drag Area; P. 76 - 83; Eivind Rømcke , Elias Sørensen , Petter Aas , Lars Bardal , Steinar Harneshaug , Magnus Lian , Luca Oggiano and Scott Drawer ; DOI:10.5220/0008165800760083 Vision-based Detection of Humans on the Ground from Actual Aerial Images by Informed Filters using Only Color Features; P. 84 - 89; Takuro Oki , Risako Aoki , Shingo Kobayashi , Ryusuke Miyamoto , Hiroyuki Yomo and Shinsuke Hara; DOI:10.5220/0008166000840089 Soccer Players` Agility: Complex Laboratory Testing for Differential Training; P. 90 - 96; Anna Zakharova , Kamiliia Mekhdieva , Vasiliy Krasilnikov and Varvara Timokhina; DOI:10.5220/0008166700900096 Exercise Testing of Elite Rowers: Comparison of Methods and Protocols; P. 97 - 102 ; Kamiliia Mekhdieva , Anna Zakharova and Varvara Timokhina; DOI:10.5220/0008166900970102 A Solution of a Mathematical Model Which Simulates Football Game as a Logistics Network; P. 105 - 112; Kenan Mengüç ; DOI:10.5220/0007917801050112 Body Composition and Segmental Bioimpedance Phase Angle in Elite Volleyball Players; P. 113 - 116; Olivia Di Vincenzo , Maurizio Marra , Rosa Sammarco , Enza Speranza and Luca Scalfi; DOI:10.5220/0007945701130116 Automated Shoe Last Customization using MATLAB Algorithm; P. 117 - 122; T. …”
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  14. 14

    Athlete participation an travel to compete: motivations in open-water swim events

    Hench, K. E.
    Published in ProQuest Dissertations Publishing (2019)
    “…These new data can aid critical stakeholders in the open-water swim MPSE community in understanding their athletes and in making informed decisions regarding the motivators that drive athlete participation intentions and the actual participation of athletes in non-traditional MPSE open-water events.…”
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  15. 15

    Xert`s Maximal Power available and the modeling of fatigue

    Cheung, S. S.
    Published in Journal of Science and Cycling (2019)
    “…An important aspect of MPA modeling is that it is self-correcting as, theoretically, actual power should never exceed MPA. If this occurs, the fitness signature (PP, HIE, TP) will be remodeled and recalculated. …”
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  16. 16

    Focus of attention in trained distance runners

    Raisbeck, L., Yamada, M., Diekfuss, J. A.
    Published in International Journal of Sports Science & Coaching (2018)
    “…However, there is limited research examining the actual attentional focus strategies adopted by distance runners. …”
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  17. 17

    Accuracy of pacing strategy predictions in ride-alone and competitive cycling time trials

    Jones, H. S., Williams, E. L.
    Published in Journal of Science and Cycling (2017)
    “…In the COMP TT, both predicted (p = .012) and post-trial perceived pace (p = 0.001) were significantly slower than actual pace at 8 km. At 16.1 km, predicted pace was significantly faster than actual pace (p = .003) (Figure 2). …”
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  18. 18

    Lactate minimum of the heart rate-based lactate minimum test highly predicts 10k and halfmarathon running performance in men and women

    Perret, C., Hartmann, K.
    Published in 21st Annual Congress of the European College of Sport Science (ECSS), Vienna, 6. -9. July 2016 (2016)
    “…During these races, runners were regularly informed about the distance covered, but were not aware of race pace or heart rate. …”
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  19. 19

    The effect of deceptive information about receiving cooling on pacing pattern during a 20-km cycling time trial in the heat

    Levels, K., de Koning, J., Foster, C., Daanen, H.
    Published in Journal of Science and Cycling (2015)
    “…Introduction: Cooling during exercise in the heat has been shown to be beneficial for performance (Bongers et al. 2014), but it is still unclear to what extent this effect can be contributed to actual physiological or perceptual changes and to what extent the expectation of receiving cooling during cycling plays a role. …”
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  20. 20

    Evaluating the central pressure point to determine the optimal saddle setback

    Kraus, L., Schade, D., Natrup, J.
    Published in Journal of Science and Cycling (2015)
    “…Saddle pressure was measured with the saddle pressure system GB Bike (GebioM), which measures the saddle pressure with 64 sensors at a sampling rate of 200 HZ. Besides actual pressure, the additional GB Bike software also provide information centre of pressure, maximal pressure and the loaded surface The basis setup of the saddle in the sagittal plane was performed dynamically using the KOPS- method. …”
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