Inertial measurement systems for segments and joints kinematics assessment: towards an understanding of the variations in sensors accuracy

Biomedical Engineering Online
Karina LebelChristian Duval

Abstract

Joints kinematics assessment based on inertial measurement systems, which include attitude and heading reference system (AHRS), are quickly gaining in popularity for research and clinical applications. The variety of the tasks and contexts they are used in require a deep understanding of the AHRS accuracy for optimal data interpretation. However, published accuracy studies on AHRS are mostly limited to a single task measured on a limited number of segments and participants. This study assessed AHRS sensors kinematics accuracy at multiple segments and joints through a variety of tasks not only to characterize the system's accuracy in these specific conditions, but also to extrapolate the accuracy results to a broader range of conditions using the characteristics of the movements (i.e. velocity and type of motion). Twenty asymptomatic adults ([Formula: see text] = 49.9) performed multiple 5 m timed up and go. Participants' head, upper trunk, pelvis, thigh, shank and foot were simultaneously tracked using AHRS and an optical motion capture system (gold standard). Each trial was segmented into basic tasks (sit-to-stand, walk, turn). At segment level, results revealed a mean root-mean-squared-difference [Formula: see text] varying b...Continue Reading

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Citations

Jun 6, 2019·Annual Review of Biomedical Engineering·Mariana H G MonjeÁlvaro Sánchez-Ferro
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Software Mentioned

OSv3
Opal APDM
Xsens MTx
Mathworks
SPSS
Nexus
Inertial OSv3
OS3D
AHRS
Xsens

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