Cargando…
Validation of Inertial Sensor to Measure Barbell Kinematics across a Spectrum of Loading Conditions
The aim of this study was to evaluate the level of agreement in measuring back squat kinematics between an inertial measurement unit (IMU) and a 3D motion capture system (3DMOCAP). Kinematic variables included concentric peak velocity (CPV), concentric mean velocity (CMV), eccentric peak velocity (E...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7404789/ https://www.ncbi.nlm.nih.gov/pubmed/32610449 http://dx.doi.org/10.3390/sports8070093 |
_version_ | 1783567185366482944 |
---|---|
author | Abbott, John C. Wagle, John P. Sato, Kimitake Painter, Keith Light, Thaddeus J. Stone, Michael H. |
author_facet | Abbott, John C. Wagle, John P. Sato, Kimitake Painter, Keith Light, Thaddeus J. Stone, Michael H. |
author_sort | Abbott, John C. |
collection | PubMed |
description | The aim of this study was to evaluate the level of agreement in measuring back squat kinematics between an inertial measurement unit (IMU) and a 3D motion capture system (3DMOCAP). Kinematic variables included concentric peak velocity (CPV), concentric mean velocity (CMV), eccentric peak velocity (EPV), eccentric mean velocity (EMV), mean propulsive velocity (MPV), and POP-100: a proprietary variable. Sixteen resistance-trained males performed an incrementally loaded one repetition maximum (1RM) squat protocol. A series of Pearson correlations, 2 × 4 RM ANOVA, Cohen’s d effect size differences, coefficient of variation (CV), and standard error of the estimate (SEE) were calculated. A large relationship existed for all variables between devices (r = 0.78–0.95). Between-device agreement for CPV worsened beyond 60% 1RM. The remaining variables were in agreement between devices with trivial effect size differences and similar CV magnitudes. These results support the use of the IMU, regardless of relative intensity, when measuring EMV, EPV, MPV, and POP-100. However, practitioners should carefully select kinematic variables of interest when using the present IMU device for velocity-based training (VBT), as certain measurements (e.g., CMV, CPV) do not possess practically acceptable reliability or accuracy. Finally, the IMU device exhibited considerable practical data collection concerns, as one participant was completely excluded and 13% of the remaining attempts displayed obvious internal error. |
format | Online Article Text |
id | pubmed-7404789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74047892020-08-11 Validation of Inertial Sensor to Measure Barbell Kinematics across a Spectrum of Loading Conditions Abbott, John C. Wagle, John P. Sato, Kimitake Painter, Keith Light, Thaddeus J. Stone, Michael H. Sports (Basel) Article The aim of this study was to evaluate the level of agreement in measuring back squat kinematics between an inertial measurement unit (IMU) and a 3D motion capture system (3DMOCAP). Kinematic variables included concentric peak velocity (CPV), concentric mean velocity (CMV), eccentric peak velocity (EPV), eccentric mean velocity (EMV), mean propulsive velocity (MPV), and POP-100: a proprietary variable. Sixteen resistance-trained males performed an incrementally loaded one repetition maximum (1RM) squat protocol. A series of Pearson correlations, 2 × 4 RM ANOVA, Cohen’s d effect size differences, coefficient of variation (CV), and standard error of the estimate (SEE) were calculated. A large relationship existed for all variables between devices (r = 0.78–0.95). Between-device agreement for CPV worsened beyond 60% 1RM. The remaining variables were in agreement between devices with trivial effect size differences and similar CV magnitudes. These results support the use of the IMU, regardless of relative intensity, when measuring EMV, EPV, MPV, and POP-100. However, practitioners should carefully select kinematic variables of interest when using the present IMU device for velocity-based training (VBT), as certain measurements (e.g., CMV, CPV) do not possess practically acceptable reliability or accuracy. Finally, the IMU device exhibited considerable practical data collection concerns, as one participant was completely excluded and 13% of the remaining attempts displayed obvious internal error. MDPI 2020-06-29 /pmc/articles/PMC7404789/ /pubmed/32610449 http://dx.doi.org/10.3390/sports8070093 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Abbott, John C. Wagle, John P. Sato, Kimitake Painter, Keith Light, Thaddeus J. Stone, Michael H. Validation of Inertial Sensor to Measure Barbell Kinematics across a Spectrum of Loading Conditions |
title | Validation of Inertial Sensor to Measure Barbell Kinematics across a Spectrum of Loading Conditions |
title_full | Validation of Inertial Sensor to Measure Barbell Kinematics across a Spectrum of Loading Conditions |
title_fullStr | Validation of Inertial Sensor to Measure Barbell Kinematics across a Spectrum of Loading Conditions |
title_full_unstemmed | Validation of Inertial Sensor to Measure Barbell Kinematics across a Spectrum of Loading Conditions |
title_short | Validation of Inertial Sensor to Measure Barbell Kinematics across a Spectrum of Loading Conditions |
title_sort | validation of inertial sensor to measure barbell kinematics across a spectrum of loading conditions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7404789/ https://www.ncbi.nlm.nih.gov/pubmed/32610449 http://dx.doi.org/10.3390/sports8070093 |
work_keys_str_mv | AT abbottjohnc validationofinertialsensortomeasurebarbellkinematicsacrossaspectrumofloadingconditions AT waglejohnp validationofinertialsensortomeasurebarbellkinematicsacrossaspectrumofloadingconditions AT satokimitake validationofinertialsensortomeasurebarbellkinematicsacrossaspectrumofloadingconditions AT painterkeith validationofinertialsensortomeasurebarbellkinematicsacrossaspectrumofloadingconditions AT lightthaddeusj validationofinertialsensortomeasurebarbellkinematicsacrossaspectrumofloadingconditions AT stonemichaelh validationofinertialsensortomeasurebarbellkinematicsacrossaspectrumofloadingconditions |