Lower extremity EMG-driven modeling of walking with automated adjustment of musculoskeletal geometry.

ABSTRACT: Neuromusculoskeletal disorders affecting walking ability are often difficult to manage, in part due to limited understanding of how a patient's lower extremity muscle excitations contribute to the patient's lower extremity joint moments. To assist in the study of these disorders, researchers have developed electromyography (EMG) driven neuromusculoskeletal models utilizing scaled generic musculoskeletal geometry. While these models can predict individual muscle contributions to lower extremity joint moments during walking, the accuracy of the predictions can be hindered by errors in the scaled geometry. This study presents a novel EMG-driven modeling method that automatically adjusts surrogate representations of the patient's musculoskeletal geometry to improve prediction of lower extremit

SUBMITTER: Meyer AJ 

PROVIDER: S-EPMC5507406 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature