Objective Classification of Dynamic Balance Using a Single Wearable Sensor

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Title: Objective Classification of Dynamic Balance Using a Single Wearable Sensor
Authors: Johnston, WilliamO'Reilly, MartinDolan, KaraReid, NiamhCoughlan, GarrettCaulfield, Brian
Permanent link: http://hdl.handle.net/10197/8415
Date: 9-Nov-2016
Online since: 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.
Funding Details: 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
Keywords: Personal sensingDynamic balanceY balance testInertial measurement unitFatigueLumbar
DOI: 10.5220/0006079400150024
Language: en
Status of Item: Peer reviewed
Is 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: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Public Health, Physiotherapy and Sports Science Research Collection
Insight Research Collection

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