Effects of segment masses and cut-off frequencies on the estimation of vertical ground reaction forces in running

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dc.contributor.author Komaris, Dimitrios-Sokratis
dc.contributor.author Pérez-Valero, Eduardo
dc.contributor.author Jordan, Luke
dc.contributor.author Barton, John
dc.contributor.author Hennessy, Liam
dc.contributor.author O'Flynn, Brendan
dc.contributor.author Tedesco, Salvatore
dc.date.accessioned 2020-02-12T16:45:45Z
dc.date.available 2020-02-12T16:45:45Z
dc.date.issued 2020-01-23
dc.identifier.citation Komaris, D.-S., Perez-Valero, E., Jordan, L., Barton, J., Hennessy, L., O'Flynn, B. and Tedesco, S. (2020) 'Effects of segment masses and cut-off frequencies on the estimation of vertical ground reaction forces in running', Journal of Biomechanics, 99, 109552 (7 pp). doi: 10.1016/j.jbiomech.2019.109552 en
dc.identifier.volume 99 en
dc.identifier.startpage 1 en
dc.identifier.endpage 7 en
dc.identifier.issn 0021-9290
dc.identifier.uri http://hdl.handle.net/10468/9641
dc.identifier.doi 10.1016/j.jbiomech.2019.109552 en
dc.description.abstract The purpose of this study is to examine the effect of the body’s mass distribution to segments and the filtering of kinematic data on the estimation of vertical ground reaction forces from positional data. A public dataset of raw running biomechanics was used for the purposes of the analysis, containing recordings of twenty-eight competitive or elite athletes running on an instrumented treadmill at three different speeds. A grid-search on half of the trials was employed to seek the values of the parameters that optimise the approximation of biomechanical loads. Two-way ANOVAs were then conducted to examine the significance of the parameterised factors in the modelled waveforms. The reserved recordings were used to validate the predictive accuracy of the model. The cut-off filtering frequencies of the pelvis and thigh markers were correlated to running speed and heel-strike patterns, respectively. Optimal segment masses were in agreement with standardised literature reported values. Root mean square errors for slow running (2.5 ) were on average equal to 0.1 (body weight normalized). Errors increased with running speeds to 0.13 and 0.18 for 3.5 and 4.5 , respectively. This study accurately estimated vertical ground reaction forces for slow-paced running by only considering the kinematics of the pelvis and thighs. Future studies should consider configuring the filtering of kinematic inputs based on the location of markers and type of running. en
dc.description.sponsorship Enterprise Ireland and Setanta College Ltd. (Agreement IP 2017 0606); European Regional Development Fund (ERDF, through Ireland’s European Structural and Investment Funds Programmes 2014-2020) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier en
dc.relation.uri http://www.sciencedirect.com/science/article/pii/S0021929019308097
dc.rights © 2019 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). en
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.subject Impact forces en
dc.subject Running performance en
dc.subject Wearable sensors en
dc.subject Accelerometry en
dc.subject Kinetics en
dc.subject Biomechanical modelling en
dc.title Effects of segment masses and cut-off frequencies on the estimation of vertical ground reaction forces in running en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Dimitrios Sokratis Komaris, Tyndall Micronano Electronics, University College Cork, Cork, Ireland. +353-21-490-3000 Email: dimitrios.komaris@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2020-02-12T10:21:17Z
dc.description.version Published Version en
dc.internal.rssid 500175575
dc.contributor.funder Enterprise Ireland en
dc.contributor.funder Setanta College Ltd., Ireland en
dc.contributor.funder European Regional Development Fund en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Journal of Biomechanics en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress dimitrios.komaris@ucc.ie en
dc.internal.IRISemailaddress john.barton@tyndal.ie en
dc.internal.IRISemailaddress brendan.oflynn@tyndall.ie en
dc.internal.IRISemailaddress salvatore.tedesco@tyndall.ie en
dc.internal.IRISemailaddress sokratis.komaris@tyndall.ie en
dc.identifier.articleid 109552 en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ en


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© 2019 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Except where otherwise noted, this item's license is described as © 2019 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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