Inertial sensors-based lower-limb rehabilitation assessment: A comprehensive evaluation of gait, kinematic and statistical metrics

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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 2018-03-15T12:00:32Z
dc.date.available 2018-03-15T12:00:32Z
dc.date.issued 2017
dc.identifier.citation Tedesco, S., Urru, A., Peckitt, J. and O'Flynn, B. (2017) 'Inertial Sensors-based Lower-Limb Rehabilitation Assessment: A Comprehensive Evaluation of Gait, Kinematic and Statistical Metrics', International Journal on Advances in Life Sciences, 9 (1 & 2), pp. 33-49. en
dc.identifier.volume 9 en
dc.identifier.issued 1 & 2 en
dc.identifier.startpage 33 en
dc.identifier.endpage 49 en
dc.identifier.issn 1942-2660
dc.identifier.uri http://hdl.handle.net/10468/5624
dc.description.abstract Analysis of biomechanics is frequently used in both clinical and sporting practice in order to assess human motion and their performance of defined tasks. Whilst camera-based motion capture systems have long been regarded as the ‘Gold-standard’ for quantitative movement-based analysis, their application is not without limitations as regards potential sources of variability in measurements, high cost, 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 rehabilitation progress following knee injuries, identifying a number of metrics measured via a wireless inertial sensing system. Several metrics in the time-domain have been considered to be reliable for measuring and quantifying patient progress across multiple exercises in different activities. This system was developed at the Tyndall National Institute and is able to provide a complete and accurate biomechanics assessment without the constraints of a motion capture laboratory. The results show that inertial sensors can be used for a quantitative assessment of knee joint mobility, providing valuable information to clinical experts as regards the trend of patient progress over the course of rehabilitation. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher IARIA en
dc.relation.uri http://www.iariajournals.org/life_sciences/tocv9n12.html
dc.rights 2017, © Copyright by authors, Published under agreement with IARIA - www.iaria.org en
dc.subject Inertial Sensors en
dc.subject Wearable Microsystems en
dc.subject Signal Processing en
dc.subject Data Analytics en
dc.subject Lower-Limb Rehabilitation en
dc.subject Motor Performance en
dc.title Inertial sensors-based lower-limb rehabilitation assessment: A comprehensive evaluation of gait, kinematic and statistical metrics en
dc.type Article (peer-reviewed) 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 2018-03-15T11:53:17Z
dc.description.version Published Version en
dc.internal.rssid 430029848
dc.internal.rssid 430029775
dc.description.status Peer reviewed en
dc.identifier.journaltitle International Journal on Advances in Life Sciences en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress salvatore.tedesco@tyndall.ie en


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