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Authors: William Johnston 1 ; Martin O'Reilly 1 ; Kara Dolan 1 ; Niamh Reid 1 ; Garrett F. Coughlan 2 and Brian Caulfield 1

Affiliations: 1 Insight Centre for Data Analytics, School of Public Health and Physiotherapy & Sports Science, Ireland ; 2 Connacht Rugby, Ireland

Keyword(s): Dynamic Balance, Inertial Measurement Unit, Y Balance Test, Fatigue, Lumbar.

Related Ontology Subjects/Areas/Topics: Health, Sports Performance and Support Technology ; Physiotherapy and Rehabilitation ; Sport Science Research and Technology ; Sports Medicine and Support Technology ; Training and Testing

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. (More)

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Paper citation in several formats:
Johnston, W.; O'Reilly, M.; Dolan, K.; Reid, N.; F. Coughlan, G. and Caulfield, B. (2016). Objective Classification of Dynamic Balance Using a Single Wearable Sensor. In Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support - icSPORTS; ISBN 978-989-758-205-9; ISSN 2184-3201, SciTePress, pages 15-24. DOI: 10.5220/0006079400150024

@conference{icsports16,
author={William Johnston. and Martin O'Reilly. and Kara Dolan. and Niamh Reid. and Garrett {F. Coughlan}. and Brian Caulfield.},
title={Objective Classification of Dynamic Balance Using a Single Wearable Sensor},
booktitle={Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support - icSPORTS},
year={2016},
pages={15-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006079400150024},
isbn={978-989-758-205-9},
issn={2184-3201},
}

TY - CONF

JO - Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support - icSPORTS
TI - Objective Classification of Dynamic Balance Using a Single Wearable Sensor
SN - 978-989-758-205-9
IS - 2184-3201
AU - Johnston, W.
AU - O'Reilly, M.
AU - Dolan, K.
AU - Reid, N.
AU - F. Coughlan, G.
AU - Caulfield, B.
PY - 2016
SP - 15
EP - 24
DO - 10.5220/0006079400150024
PB - SciTePress