J.I.M. (Jeanne) Parmentier MSc

J.I.M. (Jeanne) Parmentier MSc

Promovendus
Gezondheidszorg Paard
j.i.m.parmentier@uu.nl

Publicaties

2025

Wetenschappelijke publicaties

Parmentier, J. I. M., Aarts, R. M., Hernlund, E., Rhodin, M., & van der Zwaag, B. J. (2025). Detecting and measuring respiratory events in horses during exercise with a microphone: deep learning vs. standard signal processing. arXiv. [DOI] [Portal]
Siegers, E. W., Parmentier, J. I. M., Sloet van Oldruitenborgh-Oosterbaan, M. M., Munsters, C. C. B. M., & Serra Bragança, F. M. (2025). Gait kinematics at trot before and after repeated ridden exercise tests in young Friesian stallions during a fatiguing 10-week training program. Frontiers in Veterinary Science, 12, Article 1456424. [DOI] [Portal]

2024

Wetenschappelijke publicaties

Aarts, R., Parmentier, J., & Serra Braganca, F. (2024). Assessing Respiratory Pattern Changes Using a Microphone at High-Speed Trot in Standardbred Trotters – a Pilot Study: Abstract LT2. In Proceedings of 19th International Equitation Science Conference 2024: A good life for horses (pp. 63-64). International Society for Equitation Science. https://s3.amazonaws.com/kajabi-storefronts-production/file-uploads/sites/2147549522/themes/2149559392/downloads/7b5d321-8463-5384-f73a-e8ccd5675ef_ISES_2024_Proceedings.pdf
Parmentier, J., Aarts, R., Serra Braganca, F., & van der Zwaag, B. J. (2024). Measuring equine respiration in the field: an exploration of microphone data and deep learning detectors. 148-150. Paper presented at Measuring Behavior 2024: 13th International Conference on Methods and Techniques in Behavioral Research, Aberdeen, Scotland. [DOI] [Portal]
Smit, I., Parmentier, J., Rovel, T., van Dieen, J. H., & Serra Braganca, F. (2024). Towards standardisation of surface electromyography measurements in the horse: Bipolar electrode location. Journal of Electromyography and Kinesiology, 76, Article 102884. [DOI] [Repository]

2023

Wetenschappelijke publicaties

ICEL Int Comm (2023). Foreword. Comparative Exercise Physiology, 19(1), S1-S5. [DOI]
Parmentier, J. I. M., Braganca, F. M. S., Hernlund, E., & Van Der Zwaag, B. J. (2023). Terrain Type Detection for Smart Equine Gait Analysis Systems Using Inertial Sensors and Machine Learning. In Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 103-111). IEEE. [DOI]
Parmentier, J., Serra Braganca, F., Hernlund, E., & van der Zwaag, B. J. (2023). Surface types can be classified with equine IMUs data and machine learning. S9-S9. Abstract from International Conference on Canine and Equine Locomotion, Utrecht, Netherlands. [DOI]
Parmentier, J., van der Zwaag, B. J., Hernlund, E., Rhodin, M., & Serra Braganca, F. (2023). Applying deep learning to IMU data to classify lameness location in horses. S10-S10. Abstract from International Conference on Canine and Equine Locomotion, Utrecht, Netherlands. [DOI]
Darbandi, H., Munsters, C., Parmentier, J., & Havinga, P. (2023). Detecting fatigue of sport horses with biomechanical gait features using inertial sensors. PLoS One, 18(4), 1-19. Article e0284554. [DOI] [Repository]
Parmentier, J. I. M., Bosch, S., Zwaag, B. J. V. D., Weishaupt, M. A., Gmel, A. I., Havinga, P. J. M., Weeren, P. R. V., & Braganca, F. M. S. (2023). Prediction of continuous and discrete kinetic parameters in horses from inertial measurement units data using recurrent artificial neural networks. Scientific Reports, 13(1), 1-14. Article 740. [DOI] [Repository]

2022

Wetenschappelijke publicaties

Parmentier, J. I. M., Serra Braganca, F., & van der Zwaag, B. J. (2022). Benchmarking feature selection algorithms for optimal classification and dataset comprehension: a biomechanical application. In 47th congress of the Society of Biomechanics (pp. S245-S247). Taylor & Francis. [DOI] [Repository]
Malmei, S. N., Parmentier, J. I. M., Hartmann, M. C., & Brommer, H. (2022). Effects of 3D-printed horseshoes on kinematic hoof-parameters at trot on hard surface. Comparative Exercise Physiology, 18(Supplement 1 ), S73-S73. [DOI] [Repository]
Parmentier, J. I. M., Darbandi, H., Serra Braganca, F. M., & Munsters, C. C. B. M. (2022). The effect of standardised exercise tests on equine kinematics varies between disciplines. Comparative Exercise Physiology, 18(Supplement 1 ), S74-S74. [DOI] [Repository]
Hartmann, M. C., Parmentier, J. I. M., Malmei, S. N., & Brommer, H. (2022). The effects of novel tailormade 3D-printed shoes on equine kinetic parameters. Comparative Exercise Physiology, 18(Supplement 1 ), S62-S62. [DOI] [Repository]
Darbandi, H., Munsters, C. B. M., Parmentier, J. I. M., & Havinga, P. J. M. (2022). Quantitative detection of fatigue in sport horses using inertial sensors and machine learning. Comparative Exercise Physiology, 18(Supplement 1), S55-S55. [DOI] [Repository]
Smit, I., Parmentier, J., Spoormakers, T., Rovel, T., te Moller, N., & Serra Braganca, F. (2022). Electrode positioning in the horse: towards standardisation of surface EMG measurements. S101. Abstract from International Conference on Equine Exercise Physiology, Uppsala, Sweden. [DOI] [Repository]
Parmentier, J. I. M., van der Zwaag, B. J., Weishaupt, M. A., Gmel, A. I., Havinga, P. J. M., van Weeren, P. R., & Serra Braganca, F. M. (2022). Prediction of kinetic parameters from body mounted IMU data using recurrent neural networks. S45. Abstract from International Conference on Equine Exercise Physiology, Uppsala, Sweden. [DOI] [Repository]