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1.
PLoS Comput Biol ; 14(7): e1006223, 2018 07.
Artigo em Inglês | MEDLINE | ID: mdl-30048444

RESUMO

Movement is fundamental to human and animal life, emerging through interaction of complex neural, muscular, and skeletal systems. Study of movement draws from and contributes to diverse fields, including biology, neuroscience, mechanics, and robotics. OpenSim unites methods from these fields to create fast and accurate simulations of movement, enabling two fundamental tasks. First, the software can calculate variables that are difficult to measure experimentally, such as the forces generated by muscles and the stretch and recoil of tendons during movement. Second, OpenSim can predict novel movements from models of motor control, such as kinematic adaptations of human gait during loaded or inclined walking. Changes in musculoskeletal dynamics following surgery or due to human-device interaction can also be simulated; these simulations have played a vital role in several applications, including the design of implantable mechanical devices to improve human grasping in individuals with paralysis. OpenSim is an extensible and user-friendly software package built on decades of knowledge about computational modeling and simulation of biomechanical systems. OpenSim's design enables computational scientists to create new state-of-the-art software tools and empowers others to use these tools in research and clinical applications. OpenSim supports a large and growing community of biomechanics and rehabilitation researchers, facilitating exchange of models and simulations for reproducing and extending discoveries. Examples, tutorials, documentation, and an active user forum support this community. The OpenSim software is covered by the Apache License 2.0, which permits its use for any purpose including both nonprofit and commercial applications. The source code is freely and anonymously accessible on GitHub, where the community is welcomed to make contributions. Platform-specific installers of OpenSim include a GUI and are available on simtk.org.


Assuntos
Simulação por Computador , Movimento , Músculo Esquelético/fisiologia , Design de Software , Animais , Fenômenos Biomecânicos , Marcha/fisiologia , Força da Mão/fisiologia , Humanos , Sistemas Homem-Máquina , Neurônios Motores/fisiologia , Paralisia/fisiopatologia , Tecnologia Assistiva , Caminhada/fisiologia
2.
Sci Rep ; 10(1): 5872, 2020 04 03.
Artigo em Inglês | MEDLINE | ID: mdl-32245985

RESUMO

Running is thought to be an efficient gait due, in part, to the behavior of the plantar flexor muscles and elastic energy storage in the Achilles tendon. Although plantar flexor muscle mechanics and Achilles tendon energy storage have been explored during rearfoot striking, they have not been fully characterized during forefoot striking. This study examined how plantar flexor muscle-tendon mechanics during running differs between rearfoot and forefoot striking. We used musculoskeletal simulations, driven by joint angles and electromyography recorded from runners using both rearfoot and forefoot striking running patterns, to characterize plantar flexor muscle-tendon mechanics. The simulations revealed that foot strike pattern affected the soleus and gastrocnemius differently. For the soleus, forefoot striking decreased tendon energy storage and fiber work done while the muscle fibers were shortening compared to rearfoot striking. For the gastrocnemius, forefoot striking increased muscle activation and fiber work done while the muscle fibers were lengthening compared to rearfoot striking. These changes in gastrocnemius mechanics suggest that runners planning to convert to forefoot striking might benefit from a progressive eccentric gastrocnemius strengthening program to avoid injury.


Assuntos
Músculo Esquelético/fisiologia , Corrida/fisiologia , Tendões/fisiologia , Tendão do Calcâneo/fisiologia , Adulto , Fenômenos Biomecânicos/fisiologia , Simulação por Computador , Eletromiografia , Feminino , , Humanos , Masculino , Fibras Musculares Esqueléticas/fisiologia , Fatores Sexuais
3.
J Biomech ; 76: 1-7, 2018 07 25.
Artigo em Inglês | MEDLINE | ID: mdl-29866518

RESUMO

Tibial stress fractures are a common and debilitating injury that occur in distance runners. Runners may be able to decrease tibial stress fracture risk by adopting a running pattern that reduces biomechanical parameters associated with a history of tibial stress fracture. The purpose of this study was to test the hypothesis that converting to a forefoot striking pattern or increasing cadence without focusing on changing foot strike type would reduce injury risk parameters in recreational runners. Running kinematics, ground reaction forces and tibial accelerations were recorded from seventeen healthy, habitual rearfoot striking runners while running in their natural running pattern and after two acute retraining conditions: (1) converting to forefoot striking without focusing on cadence and (2) increasing cadence without focusing on foot strike. We found that converting to forefoot striking decreased two risk factors for tibial stress fracture: average and peak loading rates. Increasing cadence decreased one risk factor: peak hip adduction angle. Our results demonstrate that acute adaptation to forefoot striking reduces different injury risk parameters than acute adaptation to increased cadence and suggest that both modifications may reduce the risk of tibial stress fractures.


Assuntos
Pé/fisiologia , Fraturas de Estresse/fisiopatologia , Corrida/fisiologia , Fraturas da Tíbia/fisiopatologia , Aceleração , Adulto , Fenômenos Biomecânicos , Feminino , Articulação do Quadril/fisiologia , Humanos , Masculino , Adulto Jovem
4.
J Biomech ; 47(15): 3593-7, 2014 Nov 28.
Artigo em Inglês | MEDLINE | ID: mdl-25458201

RESUMO

Running research has focused on reducing injuries by changing running technique. One proposed method is to change from rearfoot striking (RFS) to forefoot striking (FFS) because FFS is thought to be a more natural running pattern that may reduce loading and injury risk. Muscle activity affects loading and influences running patterns; however, the differences in muscle activity between natural FFS runners and natural RFS runners are unknown. The purpose of this study was to measure muscle activity in natural FFS runners and natural RFS runners. We tested the hypotheses that tibialis anterior activity would be significantly lower while activity of the plantarflexors would be significantly greater in FFS runners, compared to RFS runners, during late swing phase and early stance phase. Gait kinematics, ground reaction forces and electromyographic patterns of ten muscles were collected from twelve natural RFS runners and ten natural FFS runners. The root mean square (RMS) of each muscle׳s activity was calculated during terminal swing phase and early stance phase. We found significantly lower RMS activity in the tibialis anterior in FFS runners during terminal swing phase, compared to RFS runners. In contrast, the medial and lateral gastrocnemius showed significantly greater RMS activity in terminal swing phase in FFS runners. No significant differences were found during early stance phase for the tibialis anterior or the plantarflexors. Recognizing the differences in muscle activity between FFS and RFS runners is an important step toward understanding how foot strike patterns may contribute to different types of injury.


Assuntos
Pé/fisiologia , Antepé Humano/fisiologia , Músculo Esquelético/fisiologia , Corrida/fisiologia , Adulto , Fenômenos Biomecânicos/fisiologia , Eletromiografia , Pé/anatomia & histologia , Antepé Humano/anatomia & histologia , Marcha/fisiologia , Humanos
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