common.study.topics.clinical

Optimization Principles in Hemiparetic Gait

common.study.values.description

Optimization Principles in Hemiparetic Gait

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.

common.study.values.location

participant.ui.study.affiliations-map.online-study.header-virtual

participant.ui.study.affiliations-map.online-study.text

participant.ui.study.affiliations-map.legend.locations participant.ui.study.affiliations-map.legend.selected

common.study.values.methods

No pharmaceutical medication involved common.study.methods.has-drugs-no
Patients and healthy individuals accepted common.study.methods.is-healthy-no

Behavioral - Manipulation of spatiotemporal coordination during walking

A description of the intervention is included in the description of the study arms.

participant.views.study.view.additional

participant.views.study.view.scientific-title

Toward a Mechanistic Understanding of Optimization Principles Underlying Hemiparetic Gait

common.study.values.clinical-trial-id

NCT03916562

participant.views.study.view.id

eZ6oge