Can wearable technology predict pain like pain predicts the weather?

dc.contributor.author	Gleadhill, S.
dc.date.issued	2016
dc.description.abstract	Measuring risk factors of injury with technology may be possible with inertial sensors. The aim was to highlight inertial sensor capabilities, to propose future research interventions. Student's T tests were completed for statistical comparisons of gyroscope angular rate of change, between deadlifts completed with a neutral spine posture and a flexed spine posture. It was concluded that inertial sensors can monitor anterior-posterior spine technique differences in resistance exercise. Therefore future research is needed to assess the capability of inertial sensor technology to measure parameters of human movement that reflect the risk of sustaining injuries.
dc.identifier.citation	Journal of Fitness Research, 2016; 5(2):5-7
dc.identifier.issn	2201-5655
dc.identifier.uri	https://hdl.handle.net/11541.2/28942
dc.language.iso	en
dc.publisher	Australian Institute of Fitness
dc.rights	Copyright 2016, Australian Institute of Fitness
dc.source.uri	https://web.p.ebscohost.com/ehost/detail/detail?vid=0%26sid=98338f04-578f-4ce3-aa21-ce7a34cbbcff%40redis%26bdata=JkF1dGhUeXBlPXNoaWIsY29va2llLGlwJnNjb3BlPXNpdGU%3d#AN=117348491%26db=s3h
dc.subject	wearable technology
dc.subject	gyroscope
dc.subject	inertial sensor
dc.subject	injury
dc.subject	lower back pain
dc.subject	wearables
dc.title	Can wearable technology predict pain like pain predicts the weather?
dc.type	Journal article
pubs.publication-status	Published
ror.mmsid	9916640288601831

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