Publications
2024
Scholarly publications
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. https://doi.org/10.1016/j.jelekin.2024.102884
2023
Scholarly publications
ICEL Int Comm (2023). Foreword. Comparative Exercise Physiology, 19(1), S1-S5. https://doi.org/10.3920/CEP2023.S1
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). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCOSS-IoT58021.2023.00029
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. https://doi.org/10.3920/CEP2023.S1
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. https://doi.org/10.3920/cep2023.s1
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. https://doi.org/10.1371/journal.pone.0284554
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. https://doi.org/10.1038/s41598-023-27899-4
2022
Scholarly publications
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. https://doi.org/10.1080/10255842.2022.2116885
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. https://doi.org/10.3920/cep2022.s1
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. https://doi.org/10.3920/cep2022.s1
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. https://doi.org/10.3920/cep2022.s1
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. https://doi.org/10.3920/cep2022.s1
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. https://doi.org/10.3920/cep2022.s1
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. https://doi.org/10.3920/CEP2022.S1