Comparing optical and electromagnetic tracking systems to facilitate compatibility in sports kinematics data

Electromagnetic (EM) tracking has been used to quantify biomechanical parameters of the lower limb and lumbar spine during ergometer rowing to improve performance and reduce injury. Optical motion capture (OMC) is potentially better suited to measure comprehensive whole-body dynamics in rowing. This...

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Autores principales: Caryn A. Urbanczyk, Alessandro Bonfiglio, Alison H. McGregor, Anthony M.J. Bull
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Lenguaje:EN
Publicado: Taylor & Francis Group 2021
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Acceso en línea:https://doaj.org/article/edb27ee6561f406fb52fe206f6b2102d
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spelling oai:doaj.org-article:edb27ee6561f406fb52fe206f6b2102d2021-11-26T11:19:50ZComparing optical and electromagnetic tracking systems to facilitate compatibility in sports kinematics data2333-543210.1080/23335432.2021.2003719https://doaj.org/article/edb27ee6561f406fb52fe206f6b2102d2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23335432.2021.2003719https://doaj.org/toc/2333-5432Electromagnetic (EM) tracking has been used to quantify biomechanical parameters of the lower limb and lumbar spine during ergometer rowing to improve performance and reduce injury. Optical motion capture (OMC) is potentially better suited to measure comprehensive whole-body dynamics in rowing. This study compared accuracy and precision of EM and OMC displacements by simultaneously recording kinematics during rowing trials at low, middle, and high rates on an instrumented ergometer (n=12). Trajectories calculated from OMC and EM sensors attached to the pelvis, lumbar spine, and right leg were highly correlated, but EM tracking lagged behind ergometer and OMC tracking by approximately 6%, yielding large RMS errors. When this phase-lag was corrected by least squares minimization, agreement between systems improved. Both systems demonstrated an ability to adequately track large dynamic compound movements in the sagittal plane but struggled at times to precisely track small displacements and narrow angular ranges in medial/lateral and superior/inferior directions. An OMC based tracking methodology can obtain equivalence with a previously validated EM system, for spine and lower limb metrics. Improvements in speed and consistency of data acquisition with OMC are beneficial for dynamic motion studies. Compatibility ensures continuity by maintaining the ability to compare to prior work.Caryn A. UrbanczykAlessandro BonfiglioAlison H. McGregorAnthony M.J. BullTaylor & Francis Grouparticleoptical motion captureelectromagnetic motion trackingkinematicsrowingBiotechnologyTP248.13-248.65PhysiologyQP1-981ENInternational Biomechanics, Vol 8, Iss 1, Pp 75-84 (2021)
institution DOAJ
collection DOAJ
language EN
topic optical motion capture
electromagnetic motion tracking
kinematics
rowing
Biotechnology
TP248.13-248.65
Physiology
QP1-981
spellingShingle optical motion capture
electromagnetic motion tracking
kinematics
rowing
Biotechnology
TP248.13-248.65
Physiology
QP1-981
Caryn A. Urbanczyk
Alessandro Bonfiglio
Alison H. McGregor
Anthony M.J. Bull
Comparing optical and electromagnetic tracking systems to facilitate compatibility in sports kinematics data
description Electromagnetic (EM) tracking has been used to quantify biomechanical parameters of the lower limb and lumbar spine during ergometer rowing to improve performance and reduce injury. Optical motion capture (OMC) is potentially better suited to measure comprehensive whole-body dynamics in rowing. This study compared accuracy and precision of EM and OMC displacements by simultaneously recording kinematics during rowing trials at low, middle, and high rates on an instrumented ergometer (n=12). Trajectories calculated from OMC and EM sensors attached to the pelvis, lumbar spine, and right leg were highly correlated, but EM tracking lagged behind ergometer and OMC tracking by approximately 6%, yielding large RMS errors. When this phase-lag was corrected by least squares minimization, agreement between systems improved. Both systems demonstrated an ability to adequately track large dynamic compound movements in the sagittal plane but struggled at times to precisely track small displacements and narrow angular ranges in medial/lateral and superior/inferior directions. An OMC based tracking methodology can obtain equivalence with a previously validated EM system, for spine and lower limb metrics. Improvements in speed and consistency of data acquisition with OMC are beneficial for dynamic motion studies. Compatibility ensures continuity by maintaining the ability to compare to prior work.
format article
author Caryn A. Urbanczyk
Alessandro Bonfiglio
Alison H. McGregor
Anthony M.J. Bull
author_facet Caryn A. Urbanczyk
Alessandro Bonfiglio
Alison H. McGregor
Anthony M.J. Bull
author_sort Caryn A. Urbanczyk
title Comparing optical and electromagnetic tracking systems to facilitate compatibility in sports kinematics data
title_short Comparing optical and electromagnetic tracking systems to facilitate compatibility in sports kinematics data
title_full Comparing optical and electromagnetic tracking systems to facilitate compatibility in sports kinematics data
title_fullStr Comparing optical and electromagnetic tracking systems to facilitate compatibility in sports kinematics data
title_full_unstemmed Comparing optical and electromagnetic tracking systems to facilitate compatibility in sports kinematics data
title_sort comparing optical and electromagnetic tracking systems to facilitate compatibility in sports kinematics data
publisher Taylor & Francis Group
publishDate 2021
url https://doaj.org/article/edb27ee6561f406fb52fe206f6b2102d
work_keys_str_mv AT carynaurbanczyk comparingopticalandelectromagnetictrackingsystemstofacilitatecompatibilityinsportskinematicsdata
AT alessandrobonfiglio comparingopticalandelectromagnetictrackingsystemstofacilitatecompatibilityinsportskinematicsdata
AT alisonhmcgregor comparingopticalandelectromagnetictrackingsystemstofacilitatecompatibilityinsportskinematicsdata
AT anthonymjbull comparingopticalandelectromagnetictrackingsystemstofacilitatecompatibilityinsportskinematicsdata
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