Muscle Force Prediction
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Benchmarks
Papers
Gait2Hip-60: A Unified Deep Learning Benchmark for Predicting Hip Muscle Forces and Joint Moments from Multi-Cadence Gait Kinematics
2026-05-24
· Jiaqi Zhang, Ji Hou, Qing Sun, Xianzhi Gao 외
arxiv
Estimating hip muscle forces and joint moments during gait typically relies on musculoskeletal simulation, which is informative but time-consuming and difficult to apply in clinical settings. This study developed a deep …
Muscle Force PredictionPhysics-informed Deep Learning for Muscle Force Prediction with Unlabeled sEMG Signals
2024-12-05
· Shuhao Ma, Jie Zhang, Chaoyang Shi, Pei Di 외
Computational biomechanical analysis plays a pivotal role in understanding and improving human movements and physical functions. Although physics-based modeling methods can interpret the dynamic interaction between the n…
Muscle Force PredictionDeep Learning for Musculoskeletal Force Prediction
2018-12-13 · Annals of Biomedical Engineering 2018 12
· Lance Rane, Ziyun Ding, Alison H. McGregor, Anthony M. J. Bull
Musculoskeletal models permit the determination of internal forces acting during dynamic movement, which is clinically useful, but traditional methods may suffer from slowness and a need for extensive input data. Recentl…
Deep LearningElectromyography (EMG)EMG Signal PredictionMedial knee JRF Prediction+2