Study of Kinematics and Gait in Dynamic Response Feet across Functional K-Level Categories.
dc.contributor.advisor | Patterson, Rita | |
dc.contributor.committeeMember | Bugnariu, Nicoleta | |
dc.contributor.committeeMember | Rosales, Armando | |
dc.creator | Donevant, Russell J. | |
dc.date.accessioned | 2019-08-22T21:37:30Z | |
dc.date.available | 2019-08-22T21:37:30Z | |
dc.date.issued | 2016-12-01 | |
dc.date.submitted | 2017-05-08T07:12:06-07:00 | |
dc.description.abstract | In the United States, the Medicare Functional Classification Level (MFCL or K-level) classification system exists in order to estimate a patient’s rehabilitation potential. Physicians assign a K-level rating from 0-4 of increasing functionality, which serves to designate what kind of prosthetic device to provide a patient with and what insurance will cover. This study aims to interpret kinematic data recorded from transtibial amputees with two different functional levels of prosthetic feet and interpret the effect on gait and functional performance when switching to a higher/lower prosthetic level than the one currently equipped with. Kinematic data are collected via motion-capture and force-plate technologies while subjects interact with a virtual reality environment and processed using the GOAT (Gait Offline Analysis Tool) analysis software. | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | https://hdl.handle.net/20.500.12503/29468 | |
dc.language.iso | en | |
dc.provenance.legacyDownloads | 40 | |
dc.subject | Diagnosis | |
dc.subject | Equipment and Supplies | |
dc.subject | prosthetics | |
dc.subject | kinematics | |
dc.subject | gait | |
dc.subject | k-level | |
dc.subject | amputee | |
dc.title | Study of Kinematics and Gait in Dynamic Response Feet across Functional K-Level Categories. | |
dc.type | Internship Practicum Report | |
dc.type.material | text | |
thesis.degree.department | Graduate School of Biomedical Sciences | |
thesis.degree.discipline | Clinical Research Management | |
thesis.degree.grantor | University of North Texas Health Science Center at Fort Worth | |
thesis.degree.name | Master of Science |
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