MUSCLEE
NeUro-muSCulo-squeLettic modeling integrating neural strategies for Muscle Effort Estimation: generalization and application in clinical settings.
The MUSCLEE project aims to improve the estimation of muscular effort, in particular for clinical application to optimize post-stroke motor rehabilitation
.Motor deficits significantly affect patients' autonomy, and although kinematic analysis provides crucial information, it does not allow accurate assessment of muscular efforts. Musculoskeletal modeling could fill this gap, but its clinical use is still restricted by its complexity and unreliable estimates.
The main objective of the MUSCLEE project is to develop an innovative tool for estimating muscular efforts adapted to the clinical exploration of motor deficits by following a user-centered approach. By integrating information on nerve strategies, via intermuscular coherence, this project aims to improve the realism and robustness of estimates, even in the case of altered nerve commands, for example in cerebral palsy patients.
The methodology revolves around three main axes.
Firstly, the extension of a model previously developed for the elbow to various joints and movements, while taking into account the functional specificities of each joint.
Secondly, the development of a model that respects the expectations and needs of clinicians, simplifying its implementation to reduce the costs and time required while seeking to maintain the quality of estimates. This implies the use of new kinematic acquisition technologies such as inertial units or video analysis, or the dimensional reduction of the model.
Secondly, the development of a model that meets the expectations and needs of clinicians, by simplifying its implementation to reduce costs and time, while seeking to maintain the quality of estimates.Finally, the robustness and sensitivity of the estimates will be estimated, first in healthy subjects by testing the model's adaptation to induced muscle fatigue, and then in cerebrospinal patients, by relating the estimates to known pathophysiology.
In the short term, this project will enrich knowledge of post-stroke motor strategies and open up new research perspectives in biomechanics.
In the longer term, information on muscular effort will foster the development of personalized rehabilitation strategies and may find applications for other neurological disorders.
| Department(s) | Partner(s) | Overall amount |
|---|---|---|
| Human and Life Sciences |
ToNIC(Inserm, UMR 1214, Toulouse) |
363 k€
|
| Main support | Rayout | Date(s) |
|
ANR
|
National |
2025 - 2029
|