Wearable inertial sensors as a tool for quantitative assessment of progress during rehabilitation

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dc.contributor.author Tedesco, Salvatore
dc.contributor.author Urru, Andrea
dc.contributor.author Peckitt, James
dc.contributor.author O'Flynn, Brendan
dc.date.accessioned 2018-03-16T12:31:00Z
dc.date.available 2018-03-16T12:31:00Z
dc.date.issued 2016-10
dc.identifier.citation Tedesco, S., Urru, A., Peckitt, J. and O'Flynn, B. (2016) 'Wearable Inertial Sensors as a Tool for Quantitative Assessment of Progress during Rehabilitation', Global Health 2016: The Fifth International Conference on Global Health Challenges, Venice, Italy, 9 - 13 October. isbn: 978-1-61208-511-1 en
dc.identifier.startpage 56 en
dc.identifier.endpage 59 en
dc.identifier.isbn 978-1-61208-511-1
dc.identifier.issn 2308-4553
dc.identifier.uri http://hdl.handle.net/10468/5628
dc.description.abstract Biomechanics analysis is frequently used in both clinical and sporting practice in order to assess human motion and performance of defined tasks. Whilst camera-based motion systems have long been regarded as the ‘Goldstandard’ for quantitative movement-based analysis, their application is not without limitations as regards potential sources of variability in measurements, high costs, and practicality of use for larger patient/subject groups. Another more practical approach, which presents itself as a viable solution to biomechanical motion capture and monitoring in sporting and patient groups, is through the use of small-size low-cost wearable Micro-ElectroMechanical Systems (MEMs)- based inertial sensors. The clinical aim of the present work is to evaluate gait during rehabilitation following knee injuries and to identify gait abnormalities through a wireless inertial sensing system. This system was developed at the Tyndall National Institute to meet clinician-defined needs, and is able to provide a complete biomechanics assessment without the constraints of a motion capture laboratory. The derived motion parameter outcomes can be analyzed by clinicians and sport scientists to study the overall patients’ condition and provide accurate medical feedback as to their rehabilitative progress. Detection of atypical movement characteristics is possible by comparing the performance and variability in motion characteristics in the patient’s affected and unaffected lower-limbs. The work is ongoing, and to date the system has been tested on only one impaired subject, additional clinical trials are currently being planned with an enhanced number of injured subjects. This will provide a more robust statistical analysis of the data in the study. The present feasibility study proved that inertial sensors can be used for a quantitative assessment of knee joint mobility, and gait mechanics during the rehabilitation program of injured subjects and can provide valuable information to clinical experts as regards patient rehabilitation. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher IARIA en
dc.relation.ispartof Global Health 2016 : The Fifth International Conference on Global Health Challenges
dc.relation.uri https://thinkmind.org/index.php?view=article&articleid=global_health_2016_4_10_70068
dc.rights Copyright © IARIA, 2016. en
dc.subject Inertial Sensors en
dc.subject Wearable Microsystems en
dc.subject Rehabilitation. en
dc.title Wearable inertial sensors as a tool for quantitative assessment of progress during rehabilitation en
dc.type Conference item en
dc.internal.authorcontactother Salvatore Tedesco, Tyndall Microsystems, University College Cork, Cork, Ireland. +353-21-490-3000 Email: salvatore.tedesco@tyndall.ie en
dc.internal.availability Full text available en
dc.date.updated 2018-03-16T12:16:17Z
dc.description.version Published Version en
dc.internal.rssid 430156267
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder European Regional Development Fund en
dc.contributor.funder Enterprise Ireland en
dc.contributor.funder Seventh Framework Programme en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Global Health 2016: The Fifth International Conference on Global Health Challenges en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Venice, Italy en
dc.internal.IRISemailaddress salvatore.tedesco@tyndall.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ en
dc.relation.project info:eu-repo/grantAgreement/EC/FP7::SP1::SP1-JTI/621272/EU/Sensor technologies enhanced safety and security of buildings and its occupants/SAFESENS en


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