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OBJECTIVE CLASSIFICATION OF DYNAMIC BALANCE USING A SINGLE WEARABLE SENSOR

Authors: 

William Johnston, Martin O'Reilly, Kara Dolan, Niamh Reid, Garrett Coughlan, Brian Caulfield

Publication Type: 
Refereed Original Article
Abstract: 
The Y Balance Test (YBT) is one of the most commonly used dynamic balance assessments in clinical and research settings. This study sought to investigate the ability of a single lumbar inertial measurement unit (IMU) to discriminate between the three YBT reach directions, and between pre and post-fatigue balance performance during the YBT. Fifteen subjects (age: 23±4, weight: 67.5±8, height: 175±8, BMI: 22±2) were fitted with a lumbar IMU. Three YBTs were performed on the dominant leg at 0, 10 and 20 minutes. A modified Wingate fatiguing intervention was conducted to introduce a balance deficit. This was followed immediately by three post-fatigue YBTs. Features were extracted from the IMU, and used to train and evaluate the random-forest classifiers. Reach direction classification achieved an accuracy of 97.80%, sensitivity of 97.86±0.89% and specificity of 98.90±0.56%. “Normal” and “abnormal” balance performance, as influenced by fatigue, was classified with an accuracy of 61.90%-71.43%, sensitivity of 61.90%-69.04% and specificity of 61.90%-78.57% depending on which reach direction was chosen. These results demonstrate that a single lumbar IMU is capable of accurately distinguishing between the different YBT reach directions and can classify between pre and post-fatigue balance with moderate levels of accuracy.
Digital Object Identifer (DOI): 
10.5220/0006079400150024
Publication Status: 
Published
Date Accepted for Publication: 
Saturday, 26 November, 2016
Publication Date: 
01/01/2016
Journal: 
International Congress on Sport Sciences Research and Technology Support
Volume: 
Volume 1:
Issue: 
icSPORTS
Pages: 
pages 15-24.
Research Group: 
Institution: 
National University of Ireland, Dublin (UCD)
Project Acknowledges: 
Open access repository: 
No