Date of Award

11-2023

Document Type

Masters Thesis

Degree Name

M.S.

Organizational Unit

Daniel Felix Ritchie School of Engineering and Computer Science, Mechanical and Materials Engineering

First Advisor

Michelle Sabick

Second Advisor

Kevin Shelburne

Third Advisor

Robert Dores

Keywords

Glenohumeral joint (GH), Center of rotation (COR), Motion capture (MOCAP)

Abstract

The glenohumeral joint (GH) is commonly conceptualized as a ball-and-socket joint [1], and its center of rotation (COR) is presumed to coincide with the geometric center of the medial-superior region of the humeral head [2]. Recent research has endorsed improvements in COR estimation through invasive and noninvasive techniques, including cadaver studies, stereophotogrammetry, and motion capture (MOCAP) systems. Despite increased interest in wearable technology within human movement analysis, the problem of COR estimation employing MOCAP systems and its validation against bi-planar fluoroscopy remains relatively unexplored.

This study employed a marker-based MOCAP system to compare the accuracy, error, and precision of three distinct in vivo tracking methods against the COR position identified via bi-planar fluoroscopy. The analysis conducted on a cohort of five healthy participants indicated that the accuracy of the tested methods was influenced by the type of arm movement and the arm employed (dominant vs. non-dominant).

Copyright Date

11-2023

Copyright Statement / License for Reuse

All Rights Reserved
All Rights Reserved.

Publication Statement

Copyright is held by the author. User is responsible for all copyright compliance.

Rights Holder

Ola Alsaadi

Provenance

Received from ProQuest

File Format

application/pdf

Language

English (eng)

Extent

113 pgs

File Size

9.1 MB

Discipline

Bioengineering

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