Johnston, WilliamWilliamJohnstonO'Reilly, MartinMartinO'ReillyDolan, KaraKaraDolanReid, NiamhNiamhReidCoughlan, GarrettGarrettCoughlanCaulfield, BrianBrianCaulfield2017-03-292017-03-292016 SCITE2016-11-099789897582059http://hdl.handle.net/10197/84154th International Congress on Sport Sciences Research and Technology Support 2016, Porto, Portugal, 7-9 November 2016The 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.enPersonal sensingDynamic balanceY balance testInertial measurement unitFatigueLumbarObjective Classification of Dynamic Balance Using a Single Wearable SensorConference Publication152410.5220/00060794001500242016-12-21https://creativecommons.org/licenses/by-nc-nd/3.0/ie/