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.
Recommended Citation
Kanchan, Archisha, "Effects of exoskeletal-assisted walking rehabilitation on gait of patients post stroke" (2024). Theses. 2587.
https://digitalcommons.njit.edu/theses/2587