Objective Classification of Dynamic Balance Using a Single Wearable Sensor

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

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: 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.

Paper Citation

in Harvard Style

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 - Volume 1: icSPORTS, ISBN 978-989-758-205-9, pages 15-24. DOI: 10.5220/0006079400150024

in Bibtex Style

@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 - Volume 1: icSPORTS,},
year={2016},
pages={15-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006079400150024},
isbn={978-989-758-205-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - Objective Classification of Dynamic Balance Using a Single Wearable Sensor
SN - 978-989-758-205-9
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