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UBC Theses and Dissertations
Development and validation of an objective balance error scoring system Brown, Harrison James
Abstract
Standing balance is an important unbiased indicator of concussion severity. However, limited accessibility to high-end technology and unreliability of simple balance assessment tools make it difficult to assess standing balance accurately outside of research laboratory settings. The objective of this thesis was to develop and validate a simple objective balance assessment tool that can provide an accurate, reliable, and affordable alternative to the currently available sideline methods. In Experiment 1, thirty healthy subjects were filmed performing the Balance Error Scoring System (BESS) while wearing inertial measurement units (IMUs) that measured linear accelerations and angular velocities from seven landmarks: forehead, chest, waist, right & left wrist, right & left shin. Each video was scored by four experienced BESS raters. Mean experienced rater scores were used to develop an algorithm to compute objective BESS (oBESS) scores solely from IMU data. oBESS was able to accurately fit and predict mean experienced rater BESS scores using acceleration data from only one IMU located at the forehead. In Experiment 2, twenty healthy subjects wore the same network of IMUs and serially performed 12 BESS tests in a hypoxic altitude chamber, aimed at increasing the number of balance errors. Each video was scored by three experienced raters and two athletic trainers. Similarly to Experiment 1, experienced rater scores were used along with IMU data to develop the oBESS algorithm. However, because experienced raters displayed low inter-rater and intra-rater reliability, algorithm training and analyses were performed only using trials where the raters had marginal scoring differences. The oBESS was able to fit mean experienced rater scores with greater accuracy than the two athletic trainers, but not at a level commonly associated with high clinical reliability. In summary, this thesis shows that the oBESS can reliably predict total BESS
Item Metadata
Title |
Development and validation of an objective balance error scoring system
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2013
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Description |
Standing balance is an important unbiased indicator of concussion severity. However, limited
accessibility to high-end technology and unreliability of simple balance assessment tools make it
difficult to assess standing balance accurately outside of research laboratory settings. The
objective of this thesis was to develop and validate a simple objective balance assessment tool
that can provide an accurate, reliable, and affordable alternative to the currently available
sideline methods. In Experiment 1, thirty healthy subjects were filmed performing the Balance
Error Scoring System (BESS) while wearing inertial measurement units (IMUs) that measured
linear accelerations and angular velocities from seven landmarks: forehead, chest, waist, right &
left wrist, right & left shin. Each video was scored by four experienced BESS raters. Mean
experienced rater scores were used to develop an algorithm to compute objective BESS (oBESS)
scores solely from IMU data. oBESS was able to accurately fit and predict mean experienced
rater BESS scores using acceleration data from only one IMU located at the forehead. In
Experiment 2, twenty healthy subjects wore the same network of IMUs and serially performed
12 BESS tests in a hypoxic altitude chamber, aimed at increasing the number of balance errors.
Each video was scored by three experienced raters and two athletic trainers. Similarly to
Experiment 1, experienced rater scores were used along with IMU data to develop the oBESS
algorithm. However, because experienced raters displayed low inter-rater and intra-rater
reliability, algorithm training and analyses were performed only using trials where the raters had
marginal scoring differences. The oBESS was able to fit mean experienced rater scores with
greater accuracy than the two athletic trainers, but not at a level commonly associated with high
clinical reliability. In summary, this thesis shows that the oBESS can reliably predict total BESS
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Genre | |
Type | |
Language |
eng
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Date Available |
2014-03-31
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0074282
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2013-11
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Campus | |
Scholarly Level |
Graduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-NoDerivatives 4.0 International