Document Type

Thesis

Date of Award

5-31-2024

Degree Name

Master of Science in Biomedical Engineering - (M.S.)

Department

Biomedical Engineering

First Advisor

Saikat Pal

Second Advisor

Karen J. Nolan

Third Advisor

Jongsang Son

Abstract

Stroke can have detrimental effects on one's body. Its symptoms can range from lightheadedness to blurred vision to body paralysis. One of the more common effects of stroke is difficulty walking where many of the patients who have suffered from stroke are unable to ambulate fully. To mitigate gait difficulties, patients typically follow through with various kinds of physical therapy to help with their gait movements. Recently, robotic exoskeleton (RE) walking therapy has been used as a more innovative approach to gait rehabilitation, in conjunction with other physical therapy session techniques. However, studies involving RE therapy within the stroke population use basic parameters such as walking speed or qualitative scales to measure the level of independence achieved after RE therapy. Therefore, there is a need for quantitative metrics to assess changes in gait in patients with stroke after RE therapy. Movement Analysis Profile (MAP) and Gait Profile Score (GPS) are metrics based on joint kinematics during gait and can quantify how RE therapy may improve gait in patients with stroke.

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