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Sensors 2018, 18(5), 1577; https://doi.org/10.3390/s18051577

Biomechanical Gait Variable Estimation Using Wearable Sensors after Unilateral Total Knee Arthroplasty

1
Division of Navigation & Information Systems, Mokpo National Maritime University, Mokpo 58628, Korea
2
Department of Computer Science, University of Nebraska Omaha, Omaha, NE 68182, USA
3
Department of Physical Therapy, University of Delaware, Newark, DE 19716, USA
4
Department of Biomechanics, University of Nebraska Omaha, Omaha, NE 68182, USA
*
Author to whom correspondence should be addressed.
Received: 7 April 2018 / Revised: 4 May 2018 / Accepted: 11 May 2018 / Published: 15 May 2018
(This article belongs to the Special Issue Sensors for Gait, Posture, and Health Monitoring)
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Abstract

Total knee arthroplasty is a common surgical treatment for end-stage osteoarthritis of the knee. The majority of existing studies that have explored the relationship between recovery and gait biomechanics have been conducted in laboratory settings. However, seamless gait parameter monitoring in real-world conditions may provide a better understanding of recovery post-surgery. The purpose of this study was to estimate kinematic and kinetic gait variables using two ankle-worn wearable sensors in individuals after unilateral total knee arthroplasty. Eighteen subjects at least six months post-unilateral total knee arthroplasty participated in this study. Four biomechanical gait variables were measured using an instrumented split-belt treadmill and motion capture systems. Concurrently, eleven inertial gait variables were extracted from two ankle-worn accelerometers. Subsets of the inertial gait variables for each biomechanical gait variable estimation were statistically selected. Then, hierarchical regressions were created to determine the directional contributions of the inertial gait variables for biomechanical gait variable estimations. Selected inertial gait variables significantly predicted trial-averaged biomechanical gait variables. Moreover, strong directionally-aligned relationships were observed. Wearable-based gait monitoring of multiple and sequential kinetic gait variables in daily life could provide a more accurate understanding of the relationships between movement patterns and recovery from total knee arthroplasty. View Full-Text
Keywords: biomechanical gait variable estimation; inertial gait variable; total knee arthroplasty; wearable sensors biomechanical gait variable estimation; inertial gait variable; total knee arthroplasty; wearable sensors
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Youn, I.-H.; Youn, J.-H.; Zeni, J.A.; Knarr, B.A. Biomechanical Gait Variable Estimation Using Wearable Sensors after Unilateral Total Knee Arthroplasty. Sensors 2018, 18, 1577.

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