Stroke
Conditions
Keywords
Walking, Gait, Stability, Energetic cost
Brief summary
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.
Interventions
BEHAVIORALManipulation of spatiotemporal coordination during walking
A description of the intervention is included in the description of the study arms.
Sponsors
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
University of Southern California
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
NONE
Intervention model description
For this study, the investigators will recruit two separate groups of participants who will complete the study procedures in parallel. One group will be comprised of individuals post-stroke and the second group will be comprised of adults who have not had a stroke.
Eligibility
Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
for Control Participants: * No musculoskeletal injury or conditions that limit walking ability * No history of neurological disorders or severe head trauma * Absence of cognitive impairment as demonstrated by a Mini-Mental score greater than 24 Inclusion Criteria for Post-Stroke Participants * Presence of unilateral brain lesion from a single stroke * Weakness confined to one side * Ability to walk on a treadmill for five minutes continuously without a cane or walker * Absence of cognitive impairment as demonstrated by a Mini-Mental score greater than 24
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Oxygen consumption (VO2) | At the beginning of study day one | 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. |
| Correlation between oxygen consumption (VO2) and step length asymmetry | During study day one | 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. |
| Angular momentum during walking | At the beginning of study day two | Motion capture will be used to measure the kinematics of the body when participants respond to accelerations of the treadmill |
| Correlation between angular momentum and step length asymmetry during walking | During study day two | 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. |
Countries
United States
Contacts
Primary ContactJames Finley, Ph.D.
Outcome results
None listed