INVESTIGADORES
CATALFAMO FORMENTO Paola Andrea Lucia
artículos
Título:
Muscle-skeletal model of the thigh: a tool for understanding the biomechanics of gait in patients with cerebral palsy
Autor/es:
RAVERA, EMILIANO; CATALFAMO FORMENTO, PAOLA; CRESPO, MARCOS; BRAIDOT, ARIEL
Revista:
Journal of Physics Conference Series
Editorial:
IOP Publishing Ltd.
Referencias:
Lugar: Philadelphia; Año: 2011 vol. 332 p. 1 - 10
ISSN:
1742-6596
Resumen:
Cerebral Palsy represents the most common cause of physical disability in modern world and within the pediatrics orthopedics units. The gait analysis provides great contributions to the understanding of gait disorders in CP. Giving a more comprehensive treatment plan, including or excluding surgical procedures that can potentially decrease the number of surgical interventions in the life of these patients. Recommendations for orthopedic surgery may be based on a quantitative description of how to alter the properties probably muscle force generation, and how this affects the action of the muscle to determine how these muscles, impaired by disease or surgery, contributing to the movement of the segments of the limb during crouch gait. So the causes and appropriate treatment of gait abnormalities are difficult to determine because the movements generated by the muscular forces of these patients are not clearly understood. A correct determination of the etiology of abnormal patterns of the knee is the key to select the appropriate therapy, presenting a major challenge at present since there is no theoretical basis to determine the biomechanical causes of abnormal gait of these patients. The potential and necessity of using correct biomechanical models that consistently study the abnormalities becomes clear. Reinforcing and correcting a simple gait analysis and eliminating the unknowns when selecting the appropriate treatment is crucial in clinical settings. In this paper a computer muscle-skeletal model is proposed. The model represents a person's thigh simulating the six most representative muscles and joints of the hip and knee. In this way you can have a better understanding of gait abnormalities present in these patients. So the quality of these estimates of individual muscle dynamics facilitate better understanding of the biomechanics of gait pathologies helping to reach better diagnosis prior to surgery and rehabilitation treatments.