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, William
O'Reilly, Martin
Dolan, Kara
Reid, Niamh
Coughlan, Garrett
Caulfield, Brian
Permanent link: http://hdl.handle.net/10197/8415
Date: 9-Nov-2016
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
Copyright (published version): 2016 SCITEPRESS – Science and Technology Publications, Lda
Keywords: Personal sensing;Dynamic balance;Y balance test;Inertial measurement unit;Fatigue;Lumbar
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
Appears in Collections:Public Health, Physiotherapy and Sports Science Research Collection
Insight Research Collection

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This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.