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  1. 1

    Validity and reliability of an on-bike sensor system for the determination of aerodynamic drag in cycling

    Hopker, J. G., Barnes, C., Fennell, C. R. J., Gibson, S.
    Published in European Journal of Sport Science (2025)
    Subjects: “…Sensor…”
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  2. 2

    Pacing and stroke mechanics in 400m freestyle: A hierarchical generalized additive model across performance levels

    Bideau, N., Bouvet, A.
    Published in ISBS Proceedings Archive: Vol. 43: Iss. 1 (2025)
    “…The analysis involves 127 trained to elite swimmers, divided into performance groups, using an IMU sensor to measure spatiotemporal parameters. A Hierarchical Generalized Additive Model identified trends and group-specific variations in speed, stroke rate, stroke length, and stroke smoothness (jerk cost). …”
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  3. 3

    Investigation of supervised machine learning for IMU-based swimming activity recognition

    Aram, S., Thompson, I. M., Hudson, D. A., Banks, J.
    Published in ISBS Proceedings Archive: Vol. 43: Iss. 1 (2025)
    Subjects: “…Sensor…”
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  4. 4

    Open water swimming: swimmers` kinematical and neuromuscular characterisation in a 5 km swim

    Conceição, A., Marinho, D., Stastny, J., Gonçalves, C., Freitas, J., da Costa-Machado, R., Louro, H.
    Published in Sports (2025)
    Subjects: “…Sensor…”
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  5. 5

    Study of the local oxygen saturation in cycling and differences between sexes

    Sendra-Pérez, C.
    Published 2025
    “…The most relevant conclusions of this thesis document were that portable muscle oxygenation sensors demonstrated moderate to good reliability in determining the second threshold. …”
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  6. 6

    Effect of longitudinal bending stiffness of marathon racing shoes on the elite runners` lower limb biomechanics

    Kuang, L., Lin, T., Yang, H., Li, R., Zuo, C., Zhang, H., Cai, Y.
    Published in Footwear Science (2025)
    “…Muscle activation was recorded using Noraxon Ultium EMG sensors (Noraxon, Scottsdale, AZ, USA). Kinematic, kinetic data and Surface electromyography signals were processed with Vicon Nexus 2.7 and Visual3D. …”
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  7. 7

    Reliability, accuracy and ecological validity of a wireless pressure sensor for swimming performance analysis

    Coloretti, V., Russo, G., Bartolomei, S., Fantozzi, S., Cortesi, M.
    Published in Sports Engineering (2025)
    Subjects: “…Sensor…”
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  8. 8

    The influence of menstrual cycle in heart rate variability and performance - a case study of a highly-trained female long-distance runner

    Barría-Miranda, F., Azócar-Gallardo, J., Ñancupil-Andrade, L., Ñancupil-Andrade, A., Garcia-Carrillo, E., Campos-Uribe, V., Cresp-Barria, M.
    Published in Journal of Human Sport & Exercise (2025)
    Subjects: “…Sensor…”
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  9. 9

    Profiling pacing and underlying kinematics during 400m front-crawl with embedded sensors and functional modeling of large database: highlighting the technical regulations of various performance level

    Bouvet, A., Nicolas, G., Bideau, N.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
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  10. 10

    Validity of the Quarq cycling power meter

    Oteo-Gorostidi, J., Camara, J., Ojanguren-Rodríguez, D., Iriberri, J., Vadillo-Ventura, I., Montalvo-Pérez, A.
    Published in Sensors (2025)
    “…Sensors…”
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  11. 11

    Breath-by-breath measurement of respiratory frequency and tidal volume with a multiple-camera motion capture system during cycling incremental exercise

    Massaroni, C., Nicolò, A., Lopes, A.L.d.C., Romano, C., Pinnelli, M., Sarro, K., Schena, E., Cerveri, P., Sacchetti, M., Silvestri, S., Silvatti, A. P.
    Published in Sensors (2025)
    “…Sensors…”
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  12. 12

    The type of sport, but not sex, impacts body composition and metabolic response to a complete weight loss-weight regain episode in weight cycling athletes: results from the WAVE st...

    Bagot S., Ramos I., Miles-Chan J., Dulloo A., Hackney A. C., Boirie Y., Duclos M., Thivel D., Isacco L.
    Published in Applied Physiology, Nutrition, and Metabolism (2025)
    “…Body composition (dual-energy X-ray absorptiometry), core body temperature (telemetric temperature sensor), energy expenditure and substrate oxidation at rest and during moderate exercise (indirect calorimetry), and energy intake (48 h food record) were assessed. …”
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  13. 13

    Accuracy of smartwatches in predicting distance running performance

    Dai, J., Chen, G., Gu, Z., Qi, Y., Xu, K.
    Published in Frontiers in Sports and Active Living (2025)
    Subjects: “…Sensor…”
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  14. 14

    Validity and Reliability of an on-bike sensor system for the determination of aerodynamic drag in cycling

    Hopker, J., Barnes, C., Fennell, C., Gibson, S.
    Published in SportRxiv Preprints (2024)
    Subjects: “…Sensor…”
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  15. 15

    Assessing ambient temperature measurements in road cycling races

    Pinedo-Jauregi, A., Romarate, A.
    Published in International Journal of Sports Science & Coaching (2024)
    Subjects: “…Sensor…”
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  16. 16

    Determining validity and reliability of an in-field performance analysis system for swimming

    Born, D.-P., Polach, M., Staunton, C.
    Published in Sensors (2024)
    “…Sensors…”
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  17. 17

    Magnetic garments promote parasympathetic dominance and improve sleep quality in male long-distance runners following a 30 km run

    Nobue, A., Sano, K., Ishikawa, M.
    Published in Sensors (2024)
    “…Sensors…”
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  18. 18

    Continuous glucose monitoring in para cyclists: An observational study

    Weijer, V., van der Werf, R., van der Haijden, M., Jeukendrup, A., van Loon, L. J. C., van Dijk, J. W.
    Published in European Journal of Sport Science (2024)
    “…Furthermore, CGM accuracy is compromised during exercise, especially if the sensor is in proximity to highly active muscles.…”
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  19. 19

    Assessing energy availability and glucose dynamics in adolescent cyclists: Implications for nutritional interventions during the competitive season

    Tarocchi, M., Pellegrino, A., Skroce, K., Zignoli, A., Cavadini, L. C., Bodini, C., Pagliai, G., Toncelli, L., Stefani, L., Vanni, S., Boddi, M., Modesti, A., Modesti, P. A.
    Published in Nutrients (2024)
    “…Their real-time power output, interstitial glucose, and temperature were recorded via sensors and a bike computer. Their energy intake (EI) was estimated from daily, self-reported food diaries. …”
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  20. 20

    Validity and reliability of movesense hr+ ecg measurements for high-intensity running and cycling

    Martín Gómez, R., Allevard, E., Kamstra, H., Cotter, J., Lamb, P.
    Published in Sensors (2024)
    “…Sensors…”
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