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Objective Classification of Dynamic Balance Using a Single Wearable Sensor
Date Issued
2016-11-09
Date Available
2017-03-29T12:38:45Z
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: 234, weight: 67.58, height: 1758, BMI: 222) 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 97.860.89% and specificity of 98.900.56%. 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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
SCITEPRESS – Science and Technology Publications
Start Page
15
End Page
24
Copyright (Published Version)
2016 SCITEPRESS – Science and Technology Publications, Lda
Language
English
Status of Item
Peer reviewed
Part of
Correia, P.P and Cabri, J. (eds.). Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support (icSPORTS 2016)
Conference Details
4th International Congress on Sport Sciences Research and Technology Support 2016, Porto, Portugal, 7-9 November 2016
ISBN
9789897582059
This item is made available under a Creative Commons License
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