ReviewJournal of neuroengineering and rehabilitation2023
Biomechanical modeling for the estimation of muscle forces: toward a common language in biomechanics, medical engineering, and neurosciences.
Review in Journal of neuroengineering and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Wireless knee joint monitoring using biodegradable single-ended pressure sensor in osteoarthritis management.Science advances · 2026Article
- Fascicle lengthening during a large torque reduction subsequently decreases dorsiflexion torque steadiness.Scientific reports · 2026Article
- A framework for quantifying the mechanics of dexterous grasp.bioRxiv : the preprint server for biology · 2026Article
- The three-dimensional finite element model of unilateral complete cleft lip and palate and mechanical analysis of the oral surfaces.Maxillofacial plastic and reconstructive surgery · 2025Article
- Feasibility study on the application of HD-sEMG-based force estimation technology in the assessment of hand dysfunction in cerebral palsy.Frontiers in bioengineering and biotechnology · 2025Article
- Comparison of synergy extrapolation and static optimization for estimating multiple unmeasured muscle activations during walking.Journal of neuroengineering and rehabilitation · 2024Article
- A Motion Capture Dataset on Human Sitting to Walking Transitions.Scientific data · 2024Article
- Four-compartment muscle fatigue model to predict metabolic inhibition and long-lasting nonmetabolic components.Frontiers in physiology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Different research fields, such as biomechanics, medical engineering or neurosciences take part in the development of biomechanical models allowing for the estimation of individual muscle forces involved in motor action. The heterogeneity of the terminology used to describe these models according to the research field is a source of confusion and can hamper collaboration between the different fields. This paper proposes a common language based on lexical disambiguation and a synthesis of the terms used in the literature in order to facilitate the understanding of the different elements of biomechanical modeling for force estimation, without questioning the relevance of the terms used in each field or the different model components or their interest. We suggest that the description should start with an indication of whether the muscle force estimation problem is solved following the physiological movement control (from the nervous drive to the muscle force production) or in the opposite direction. Next, the suitability of the model for force production estimation at a given time or for monitoring over time should be specified. Authors should pay particular attention to the method description used to find solutions, specifying whether this is done during or after data collection, with possible method adaptations during processing. Finally, the presence of additional data must be specified by indicating whether they are used to drive, assist, or calibrate the model. Describing and classifying models in this way will facilitate the use and application in all fields where the estimation of muscle forces is of real, direct, and concrete interest.
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Registered trials
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