Optimization Principles in Hemiparetic Gait

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.

No pharmaceutical medication involved
Patients and healthy individuals accepted

Behavioral - Manipulation of spatiotemporal coordination during walking

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

Toward a Mechanistic Understanding of Optimization Principles Underlying Hemiparetic Gait