Kinematic Analysis of Patients with Charcot–Marie–Tooth Disease Using OpenSim
This study proposes a methodology for conducting computational simulations of pathological gait. The literature shows a consensus that biomechanical models for gait analysis should be formulated as control problems. To achieve this, it is common prac-tice to guide the solution using kinematic or kin...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universidad de Huelva (UHU) |
| Repositorio: | Arias Montano. Repositorio Institucional de la Universidad de Huelva |
| Idioma: | inglés |
| OAI Identifier: | oai:ariasmontano.uhu.es:10272/27304 |
| Acceso en línea: | https://hdl.handle.net/10272/27304 |
| Access Level: | acceso abierto |
| Palabra clave: | Charcot–Marie–Tooth OpenSim gait analysis instability ankle kinematics 33 Ciencias Tecnológicas |
| Sumario: | This study proposes a methodology for conducting computational simulations of pathological gait. The literature shows a consensus that biomechanical models for gait analysis should be formulated as control problems. To achieve this, it is common prac-tice to guide the solution using kinematic or kinetic data to prevent temporal instabil-ity. The aim of this study is to implement a biomechanical model of the Charcot-–Marie-–Tooth disease in OpenSim software that enables more comprehensive simula-tions, which may in future involve the musculoskeletal system of patient and predic-tive studies. In this way, it will be possible to design specific active assistive devices tailored to each patient. Experimental gait data from six Charcot-–Marie-–Tooth pa-tients were used. The dataset comprises three-dimensional trajectories of reflective markers placed according to the Davis-Heel protocol. The acquired data allowed a pa-tient-specific adjustment of the biomechanical model. The inverse kinematic was solved, and the results were validated by comparing them with those obtained using the commercial BTS Bioengineering® software. The results show a strong alignment in ankle kinematics between the OpenSim model and the data generated by BTS Bioengi-neering®. Additionally, the kinematic results have been compared with normative curves, allowing the identification of potential areas for intervention using active as-sistive devices aimed at improving movement patterns of patients. |
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