| Towards machine learning-based detection of running-induced fatigue in real-world scenarios: Evaluation of IMU sensor configurations to reduce intrusiveness L Marotta, JH Buurke, BJF van Beijnum, J Reenalda Sensors 21 (10), 3451, 2021 | 42 | 2021 |
| Effects of level running-induced fatigue on running kinematics: A systematic review and meta-analysis MA Zandbergen, L Marotta, R Bulthuis, JH Buurke, PH Veltink, ... Gait & posture 99, 60-75, 2023 | 36 | 2023 |
| Accelerometer-Based Identification of Fatigue in the Lower Limbs during Cyclical Physical Exercise: A Systematic Review L Marotta, BL Scheltinga, R van Middelaar, WM Bramer, BJF van Beijnum, ... Sensors 22 (8), 3008, 2022 | 20 | 2022 |
| All devices are not created equal: Simultaneous data collection of three triaxial accelerometers sampling at different frequencies AH Gruber, L Marotta, J McDonnell, J Reenalda Proceedings of the Institution of Mechanical Engineers, Part P: Journal of …, 2022 | 7 | 2022 |
| (Machine) Learning From IMU-derived Biomechanics To Detect Physical Fatigue In An Outdoor Run: 440 L Marotta, J Reenalda Medicine & Science in Sports & Exercise 53 (8S), 141, 2021 | 2 | 2021 |
| Development of inertial sensor-based methods to assess physical fatigue in running applications L Marotta | | 2023 |
| Objectifying Biomechanical Parameters Related To Chronic Low Back Pain In Competitive Horseback Riders Using IMUs A Haitjema, L Marotta, FJG Backx, J Reenalda Medicine and science in sports and exercise 54 (9S), 2022 | | 2022 |
| Identification Of Physical Fatigue In Interval Training: A Machine Learning Approach L Marotta, JH Buurke, F Bert-jan, M Stoel, J Reenalda Medicine and science in sports and exercise 54 (9S), 6-6, 2022 | | 2022 |
| DOCUMENT HISTORY A Ferreras, P Castelló, M Peters, S Pitarch, SP Castelló, M Peters, ... system 4, 3, 2020 | | 2020 |
| DOCUMENT HISTORY L Marotta | | 2019 |
| Conference abstracts and presentations L Marotta DEVELOPMENT OF INERTIAL SENSOR-BASED METHODS TO ASSESS PHYSICAL FATIGUE IN …, 0 | | |
