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Changes in muscle forces after exercise in patients with peripheral artery disease
Advisor Information
Sara Myers
Location
MBSC 201
Presentation Type
Poster
Start Date
6-3-2020 10:45 AM
End Date
6-3-2020 12:00 PM
Abstract
Peripheral artery disease (PAD) is a manifestation of atherosclerosis that produces blockages in the leg arteries resulting in insufficient blood flow to the lower extremities. This lack of blood flow causes claudication, a cramping-like pain that only gets better with rest. Supervised exercise therapy (SET) is considered as a first-line treatment for claudicating patients with PAD. Several studies have shown that SET significantly improves the walking distance and the gait biomechanics at the level of ankle and hip. However, the contribution of this SET to individual muscle function and muscular response is not well understood. The overall aim of this study is to implement musculoskeletal computational modeling and simulation to investigate how SET impacts muscle function. The typical muscular force response to exercise will be quantified. Patients with PAD recruited for this study participated in a 6-month SET program. Overground gait kinematics and kinetics data were collected for each patient using a motion capture system before (baseline) and after SET (post-exercise). Musculoskeletal modeling and gait simulations were performed using an open-source platform, OpenSim. The outcomes of this study will provide the fundamental knowledge of how muscle function improves the following exercise and correlates to several gait variables. This knowledge could be useful for future modifications of the rehabilitation protocols that may benefit the patients with PAD most.
Changes in muscle forces after exercise in patients with peripheral artery disease
MBSC 201
Peripheral artery disease (PAD) is a manifestation of atherosclerosis that produces blockages in the leg arteries resulting in insufficient blood flow to the lower extremities. This lack of blood flow causes claudication, a cramping-like pain that only gets better with rest. Supervised exercise therapy (SET) is considered as a first-line treatment for claudicating patients with PAD. Several studies have shown that SET significantly improves the walking distance and the gait biomechanics at the level of ankle and hip. However, the contribution of this SET to individual muscle function and muscular response is not well understood. The overall aim of this study is to implement musculoskeletal computational modeling and simulation to investigate how SET impacts muscle function. The typical muscular force response to exercise will be quantified. Patients with PAD recruited for this study participated in a 6-month SET program. Overground gait kinematics and kinetics data were collected for each patient using a motion capture system before (baseline) and after SET (post-exercise). Musculoskeletal modeling and gait simulations were performed using an open-source platform, OpenSim. The outcomes of this study will provide the fundamental knowledge of how muscle function improves the following exercise and correlates to several gait variables. This knowledge could be useful for future modifications of the rehabilitation protocols that may benefit the patients with PAD most.