Not provided
Not provided
Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| ANR-19-STHP-0003 | Other Identifier | ANR |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| French National Insitute of Sport | UNKNOWN |
| FULGUR consortium | UNKNOWN |
Not provided
Not provided
Not provided
Not provided
During the Olympics, running fast is the most prevalent motor task, 100-m dash being the one of the most-expected event. Yet, the achievement of such running sprints requires both extreme athletic capabilities together with robust musculoskeletal system in order to limit the risk of injury. Lower limb muscle injury is indeed the main cause of training or competition interruption on the international stage. In this context, France presents the unique feature of being historically strong in velocity-oriented sports and recognized for the quality of research work done for the understanding of sprint running performance. This research program will be conducted in strong collaboration with French Federations of Athletics, Rugby and Ice Sports (bobsleigh). FULGUR gathers world's leading experts in muscle biomechanics, strength and conditioning research, clinical imaging, health behaviors, and machine learning applied to very high sport performance in order to pursue a threefold objective:
These goals will be supported by transverse tasks aiming at refining muscle mechanics and motion capture analysis based on ultrasound imaging and machine learning. These tasks will aim to advance the analysis of skeletal muscle dynamics 2D ultrasound analyses and to implement markerless motion capture methods in the field. Led by the flagship French laboratory focused on very high sport performance, these work originate from long-term collaborations between high-end athletic and multi-disciplinary scientific staffs. Thanks to a strong evidence-based methodological approach and minimal time-cost for top-level athletes, all the efforts put in FULGUR will convert to the ultimate goal of fast-track knowledge and tech transfer towards sport performance stakeholders. Tailored-made sprint, strength and prevention training will be co-built with coaches and staffs during panel meetings in a view to optimize sprint performance and reduce the exposure of top-level French sprinters, rugby 7 players and bobbers to muscle injury. The knowledge inferred from this project will have direct implications in every discipline that elicits all-out sprints and accelerations (e.g. team sports, racket sports). Regular meetings with coaches and heads of federal R&D departments will result in a strongly anticipated strategy to enhance the potential of knowledge transfer and performance optimization (annual expertise meetings, innovative videos including dynamic infographics, short technical sheets, expert education programs for coaches). This approach is expected to strongly contribute to upgrade scientific skills of French performance stakeholders from Tokyo 2020 to Paris 2024 and beyond.
During the Olympics, running fast is the most prevalent motor task, 100-m dash being the one of the most-expected event. Yet, the achievement of such running sprints requires both extreme athletic capabilities together with robust musculoskeletal system in order to limit the risk of injury. Lower limb muscle injury is indeed the main cause of training or competition interruption on the international stage. In this context, France presents the unique feature of being historically strong in velocity-oriented sports and recognized for the quality of research work done for the understanding of sprint running performance. This research program will be conducted in strong collaboration with French Federations of Athletics, Rugby and Ice Sports (bobsleigh). FULGUR gathers world's leading experts in muscle biomechanics, strength and conditioning research, clinical imaging, health behaviors, and machine learning applied to very high sport performance in order to pursue a threefold objective:
These goals will be supported by transverse tasks aiming at refining muscle mechanics and motion capture analysis based on ultrasound imaging and machine learning. These tasks will aim to advance the analysis of skeletal muscle dynamics 2D ultrasound analyses and to implement markerless motion capture methods in the field. Led by the flagship French laboratory focused on very high sport performance, these work originate from long-term collaborations between high-end athletic and multi-disciplinary scientific staffs. Thanks to a strong evidence-based methodological approach and minimal time-cost for top-level athletes, all the efforts put in FULGUR will convert to the ultimate goal of fast-track knowledge and tech transfer towards sport performance stakeholders. Tailored-made sprint, strength and prevention training will be co-built with coaches and staffs during panel meetings in a view to optimize sprint performance and reduce the exposure of top-level French sprinters, rugby 7 players and bobbers to muscle injury. The knowledge inferred from this project will have direct implications in every discipline that elicits all-out sprints and accelerations (e.g. team sports, racket sports). Regular meetings with coaches and heads of federal R&D departments will result in a strongly anticipated strategy to enhance the potential of knowledge transfer and performance optimization (annual expertise meetings, innovative videos including dynamic infographics, short technical sheets, expert education programs for coaches). This approach is expected to strongly contribute to upgrade scientific skills of French performance stakeholders from Tokyo 2020 to Paris 2024 and beyond.
Not provided
Not provided
Not provided
Not provided
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Sprint power and performance | Force-power-velocity profile during a maximal free sprint | through study completion, an average of 4 years |
| Measure | Description | Time Frame |
|---|---|---|
| Musculo-skeletal characteristics, training load, psychological characteristics | Musculo-skeletal characteristics : joint force, power, velocity at the hip, knee and ankle level (isokinetic testing), muscle elasticity (ultra sound elastography), muscle architecture and geometry (ultrasound, MRI), muscle coordination (EMG) Training load (RPE, GPS quatification) | through study completion, an average of 4 years |
Not provided
Inclusion Criteria:
Exclusion Criteria:
-
Not provided
Not provided
Not provided
French high elite athlete form athletics, rugby 7 and bobsleigh
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Gaël GUILHEM, PhD | Laboratory of sport, expertise and performance - National Institut of Sport of Expertise and Performance | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| French National Insitute of Sport | Paris | 75012 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35526371 | Background | Edouard P, Caumeil B, Verhagen E, Guilhem G, Ruffault A. Maximising individualisation of sports injury risk reduction approach to reach success. Braz J Phys Ther. 2022 May-Jun;26(3):100394. doi: 10.1016/j.bjpt.2022.100394. Epub 2022 Feb 12. | |
| 36433206 | Result | Fornasier-Santos C, Arnould A, Jusseaume J, Millot B, Guilhem G, Couturier A, Samozino P, Slawinski J, Morin JB. Sprint Acceleration Mechanical Outputs Derived from Position- or Velocity-Time Data: A Multi-System Comparison Study. Sensors (Basel). 2022 Nov 8;22(22):8610. doi: 10.3390/s22228610. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D014947 | Wounds and Injuries |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Psychological characteristics evaluation | A measurement tool established by our study team will be used to assess the measure, named: For anxiety, motivation, optimism, impulsivity, emotion self regulation. | through study completion, an average of 4 years |