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Un marco de dinámica hacia adelante para la optimización de parámetros del modelo musculoesquelético impulsado por

Hao Xie1,2,3,4, Yingpeng Wang5, Tingting Liu3,4

  • 1School of Biomedical Engineering, GuangZhou Medical University, No. 1, Xinzao Road, Xinzao Town, Panyu District, Guangzhou, China.

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PubMed
Resumen

Este estudio presenta un novedoso modelo musculoesquelético impulsado por electromiografía (EMG) que utiliza un algoritmo genético en OpenSim para estimar con precisión el par de la articulación de la rodilla y las fuerzas musculares para el análisis biomecánico personalizado.

Palabras clave:
EMG-impulsadoModelo muscular de HillPar de rodillaModelo musculoesqueléticoMúsculo cuádriceps

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Área de la Ciencia:

  • Biomecánica
  • Modelado Musculoesquelético
  • Fisiología Computacional

Sus antecedentes:

  • La estimación precisa de la fuerza muscular y el par articular en modelos musculoesqueléticos específicos del sujeto se ve obstaculizada por los desafíos en la determinación de los parámetros musculares.
  • Este estudio aborda cuestiones metodológicas para un modelo impulsado por electromiografía (EMG) integrado con un algoritmo genético y la API de OpenSim.

Objetivo del estudio:

  • Estimar la fuerza muscular y el par de la articulación de la rodilla utilizando un modelo musculoesquelético impulsado por EMG específico del sujeto.
  • Validar la precisión del modelo comparando los pares predichos con las mediciones del dinamómetro.

Principales métodos:

  • Se empleó un modelo muscular de Hill, utilizando datos de EMG filtrados como entrada para calcular el par de la rodilla.
  • El modelo incorporó parámetros como la longitud óptima de la fibra y la longitud del tendón, ajustados mediante un algoritmo de temple simulado genético para minimizar el error de predicción del par.
  • Se registraron datos de EMG de superficie de los músculos cuádriceps durante tareas isométricas de rodilla en varios ángulos articulares de ocho participantes.

Principales resultados:

  • El modelo propuesto impulsado por EMG logró una alta precisión, con un error cuadrático medio (RMS) general de 3,7 Nm y un valor R cuadrado de 0,97.
  • Las curvas de par simuladas coincidieron estrechamente con las curvas de par medidas cuando los parámetros clave del músculo se ajustaron simultáneamente.

Conclusiones:

  • Los modelos musculoesqueléticos específicos del sujeto y bien calibrados mejoran significativamente la precisión de la predicción de la fuerza muscular y el par de la articulación de la rodilla.
  • El método desarrollado demuestra la viabilidad de generar parámetros personalizados de unidades músculo-tendinosas (MTU) para la rodilla con alta precisión y error mínimo.