Objective Classification of Dynamic Balance Using a Single Wearable Sensor

DC FieldValueLanguage
dc.contributor.authorJohnston, William-
dc.contributor.authorO'Reilly, Martin-
dc.contributor.authorDolan, Kara-
dc.contributor.authorReid, Niamh-
dc.contributor.authorCoughlan, Garrett-
dc.contributor.authorCaulfield, Brian-
dc.date.accessioned2017-03-29T12:38:45Z-
dc.date.available2017-03-29T12:38:45Z-
dc.date.copyright2016 SCITEPRESS – Science and Technology Publications, Ldaen
dc.date.issued2016-11-09-
dc.identifier.isbn9789897582059-
dc.identifier.urihttp://hdl.handle.net/10197/8415-
dc.description4th International Congress on Sport Sciences Research and Technology Support 2016, Porto, Portugal, 7-9 November 2016en
dc.description.abstractThe 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.en
dc.description.sponsorshipScience Foundation Irelanden
dc.language.isoenen
dc.publisherSCITEPRESS – Science and Technology Publicationsen
dc.relation.ispartofCorreia, P.P and Cabri, J. (eds.). Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support (icSPORTS 2016)en
dc.subjectPersonal sensingen
dc.subjectDynamic balanceen
dc.subjectY balance testen
dc.subjectInertial measurement uniten
dc.subjectFatigueen
dc.subjectLumbaren
dc.titleObjective Classification of Dynamic Balance Using a Single Wearable Sensoren
dc.typeConference Publicationen
dc.statusPeer revieweden
dc.identifier.startpage15en
dc.identifier.endpage24en
dc.identifier.doi10.5220/0006079400150024-
dc.neeo.contributorJohnston|William|aut|-
dc.neeo.contributorO'Reilly|Martin|aut|-
dc.neeo.contributorDolan|Kara|aut|-
dc.neeo.contributorReid|Niamh|aut|-
dc.neeo.contributorCoughlan|Garrett|aut|-
dc.neeo.contributorCaulfield|Brian|aut|-
dc.date.updated2016-12-21T15:03:12Z-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en
item.grantfulltextopen-
item.fulltextWith Fulltext-
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