This project seeks to identify the how walking impairments in stroke survivors contribute to mobility deficits through the use of behavioral observations and computational models. The chosen approach integrates biomechanical analyses, physiological assessments and machine learning algorithms to explain how asymmetries during walking influence balance and the effort required to walk. Ultimately, the results of this work may lead to more personalized rehabilitation strategies to improve walking capacity and efficiency, and ultimately reduce fall risk in stroke survivors.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
108
A description of the intervention is included in the description of the study arms.
University of Southern California
Los Angeles, California, United States
RECRUITINGOxygen consumption (VO2)
The investigators will use a metabolic cart to measure the rate of oxygen consumption (VO2) while participants walk at a fixed speed on a treadmill.
Time frame: At the beginning of study day one
Correlation between oxygen consumption (VO2) and step length asymmetry
The investigators will use a metabolic cart to measure the rate of oxygen consumption (VO2) while participants walk at a fixed speed on a treadmill. VO2 will be measured in five trials where participants walk with different levels of step length asymmetry. This outcome will capture the relationship between measures of VO2 and step length asymmetry.
Time frame: During study day one
Angular momentum during walking
Motion capture will be used to measure the kinematics of the body when participants respond to accelerations of the treadmill
Time frame: At the beginning of study day two
Correlation between angular momentum and step length asymmetry during walking
Participants will complete five trials at different levels of step length asymmetry. During these trials, motion capture will be used to measure the kinematics of the body when participants respond to accelerations of the treadmill. This outcome measure will use data from all trials to determine the relationship between angular momentum and step length asymmetry.
Time frame: During study day two
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