Automating the timed up and go test (tug test) with wearable sensors

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dc.contributor.advisorMcGibbon, Chris
dc.contributor.authorBeyea, James Burket Adams
dc.date.accessioned2023-03-01T16:20:47Z
dc.date.available2023-03-01T16:20:47Z
dc.date.issued2017
dc.date.updated2023-03-01T15:01:46Z
dc.description.abstractThe timed-up-and-go (TUG) test is widely used in clinical practice for assessing mobility and fall risk in seniors. A stop watch is normally used to measure the total time required to rise from a chair, walk a short distance, turn, walk back to the chair, and return to a seated position. The time required to perform the various motor tasks or “phases” of the TUG (chair activity, walking and turning) are rarely if ever measured. Ability to quantify performance on the TUG motor tasks could greatly improve the clinical utility of the test. This thesis validated a TUG “phase” detection algorithm using TUG test data from a wearable inertial sensor against a Vicon T160 optoelectronic motion capture system. Accuracy of detection of six phases of the TUG was within +/-.5s. The results suggest a wearable sensor can add considerable value to the clinical TUG.
dc.description.copyright© James Burket Adams Beyea, 2017
dc.formattext/xml
dc.format.extentxii, 119 pages
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/13589
dc.language.isoen_CA
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineKinesiology
dc.titleAutomating the timed up and go test (tug test) with wearable sensors
dc.typemaster thesis
thesis.degree.disciplineKinesiology
thesis.degree.fullnameMaster of Science in Exercise and Sport Science
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.Sc.E.S.S.

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