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Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine

Three-dimensional rotations across the human knee serve as important markers of knee health and performance in multiple contexts including human mobility, worker safety and health, athletic performance, and warfighter performance. While knee rotations can be estimated using optical motion capture, t...

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Autores principales: Vitali, Rachel V., Cain, Stephen M., McGinnis, Ryan S., Zaferiou, Antonia M., Ojeda, Lauro V., Davidson, Steven P., Perkins, Noel C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5620966/
https://www.ncbi.nlm.nih.gov/pubmed/28846613
http://dx.doi.org/10.3390/s17091970
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author Vitali, Rachel V.
Cain, Stephen M.
McGinnis, Ryan S.
Zaferiou, Antonia M.
Ojeda, Lauro V.
Davidson, Steven P.
Perkins, Noel C.
author_facet Vitali, Rachel V.
Cain, Stephen M.
McGinnis, Ryan S.
Zaferiou, Antonia M.
Ojeda, Lauro V.
Davidson, Steven P.
Perkins, Noel C.
author_sort Vitali, Rachel V.
collection PubMed
description Three-dimensional rotations across the human knee serve as important markers of knee health and performance in multiple contexts including human mobility, worker safety and health, athletic performance, and warfighter performance. While knee rotations can be estimated using optical motion capture, that method is largely limited to the laboratory and small capture volumes. These limitations may be overcome by deploying wearable inertial measurement units (IMUs). The objective of this study is to present a new IMU-based method for estimating 3D knee rotations and to benchmark the accuracy of the results using an instrumented mechanical linkage. The method employs data from shank- and thigh-mounted IMUs and a vector constraint for the medial-lateral axis of the knee during periods when the knee joint functions predominantly as a hinge. The method is carefully validated using data from high precision optical encoders in a mechanism that replicates 3D knee rotations spanning (1) pure flexion/extension, (2) pure internal/external rotation, (3) pure abduction/adduction, and (4) combinations of all three rotations. Regardless of the movement type, the IMU-derived estimates of 3D knee rotations replicate the truth data with high confidence (RMS error [Formula: see text] and correlation coefficient [Formula: see text]).
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spelling pubmed-56209662017-10-03 Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine Vitali, Rachel V. Cain, Stephen M. McGinnis, Ryan S. Zaferiou, Antonia M. Ojeda, Lauro V. Davidson, Steven P. Perkins, Noel C. Sensors (Basel) Article Three-dimensional rotations across the human knee serve as important markers of knee health and performance in multiple contexts including human mobility, worker safety and health, athletic performance, and warfighter performance. While knee rotations can be estimated using optical motion capture, that method is largely limited to the laboratory and small capture volumes. These limitations may be overcome by deploying wearable inertial measurement units (IMUs). The objective of this study is to present a new IMU-based method for estimating 3D knee rotations and to benchmark the accuracy of the results using an instrumented mechanical linkage. The method employs data from shank- and thigh-mounted IMUs and a vector constraint for the medial-lateral axis of the knee during periods when the knee joint functions predominantly as a hinge. The method is carefully validated using data from high precision optical encoders in a mechanism that replicates 3D knee rotations spanning (1) pure flexion/extension, (2) pure internal/external rotation, (3) pure abduction/adduction, and (4) combinations of all three rotations. Regardless of the movement type, the IMU-derived estimates of 3D knee rotations replicate the truth data with high confidence (RMS error [Formula: see text] and correlation coefficient [Formula: see text]). MDPI 2017-08-27 /pmc/articles/PMC5620966/ /pubmed/28846613 http://dx.doi.org/10.3390/s17091970 Text en © 2017 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
Vitali, Rachel V.
Cain, Stephen M.
McGinnis, Ryan S.
Zaferiou, Antonia M.
Ojeda, Lauro V.
Davidson, Steven P.
Perkins, Noel C.
Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine
title Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine
title_full Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine
title_fullStr Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine
title_full_unstemmed Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine
title_short Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine
title_sort method for estimating three-dimensional knee rotations using two inertial measurement units: validation with a coordinate measurement machine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5620966/
https://www.ncbi.nlm.nih.gov/pubmed/28846613
http://dx.doi.org/10.3390/s17091970
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