Optimization Principles in Hemiparetic Gait
NCT03916562 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 108
Last updated 2023-05-23
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.
Conditions
Interventions
- BEHAVIORAL
-
Manipulation of spatiotemporal coordination during walking
A description of the intervention is included in the description of the study arms.
Sponsors & Collaborators
-
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
collaborator NIH -
University of Southern California
lead OTHER
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- BASIC_SCIENCE
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 21 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2018-11-13
- Primary Completion
- 2023-11-30
- Completion
- 2023-11-30
Countries
- United States
Study Locations
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