Objective Classification of Dynamic Balance Using a Single Wearable Sensor
|Title:||Objective Classification of Dynamic Balance Using a Single Wearable Sensor||Authors:||Johnston, William
|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|
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