Experimental validation of the Tyndall Portable Lower-Limb Analysis System with wearable inertial sensors

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dc.contributor.author Tedesco, Salvatore
dc.contributor.author Urru, Andrea
dc.contributor.author Clifford, Amanda
dc.contributor.author O'Flynn, Brendan
dc.date.accessioned 2020-03-16T11:56:24Z
dc.date.available 2020-03-16T11:56:24Z
dc.date.issued 2016-07-09
dc.identifier.citation Tedesco, S., Urru, A., Clifford, A., O'Flynn, B. (2016) 'Experimental Validation of the Tyndall Portable Lower-Limb Analysis System with Wearable Inertial Sensors', 11th conference of the International Sports Engineering Association, ISEA 2016, Delft, Netherlands, 11-14 July, in Procedia Engineering, 147, pp. 208-213. doi: 10.1016/j.proeng.2016.06.215 en
dc.identifier.volume 147 en
dc.identifier.startpage 208 en
dc.identifier.endpage 213 en
dc.identifier.issn 1877-7058
dc.identifier.uri http://hdl.handle.net/10468/9762
dc.identifier.doi 10.1016/j.proeng.2016.06.215 en
dc.description.abstract Biomechanical analysis of movement during sport practice is extremely useful to assess and, subsequently, optimise movement performance during sport which can also assist athletes during rehabilitation following injury (such as Anterior Cruciate Ligament reconstruction). It is mostly performed using camera-based motion analysis systems, which provide good results but present serious drawbacks (for instance, consistent size, high cost, and lack of portability). Thus, small-size low-cost wearable sensors are an emerging tool for biomechanics monitoring. Aim of the present work is to implement a novel wireless portable easy-to-use system, consisting of two Tyndall Wireless Inertial Measurement Units (WIMUs) per leg, suitable for free-living environments and able to provide a complete biomechanics assessment (generated on a report) without the constraints of a laboratory. Validation for the lower-limbs using state-of-the-art camera-based motion capture is presented here. Algorithms are implemented in Matlab, and the scenarios considered simulate a free-living environment and exercises performed in a rehabilitation procedure. The system has been validated with healthy and impaired subjects. This novel system shows high accuracy values for all considered scenarios. Moreover, it is able to detect atypical movement characteristics. The results of this feasibility study support the next phase which will be to assess the external and ecological validity of athletesâ on-field movement performance, which will help to inform individualised training protocols or enhance targeted rehabilitation programmes. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier en
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S1877705816306622
dc.rights © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license en
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.subject Inertial Sensors en
dc.subject Wearable en
dc.subject Knee Joint en
dc.subject Rehabilitation en
dc.subject Athletes en
dc.title Experimental validation of the Tyndall Portable Lower-Limb Analysis System with wearable inertial sensors en
dc.type Article (peer-reviewed) en
dc.type Conference item en
dc.internal.authorcontactother Salvatore Tedesco, Tyndall Micronano Electronics, 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 2020-03-16T11:47:48Z
dc.description.version Published Version en
dc.internal.rssid 352610409
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder European Regional Development Fund en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Procedia Engineering en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Delft, Netherlands en
dc.internal.IRISemailaddress salvatore.tedesco@tyndall.ie en
dc.internal.IRISemailaddress brendan.oflynn@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.identifier.eissn 1877-7058


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© 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license Except where otherwise noted, this item's license is described as © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
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