Literature DB >> 32035296

Inertial motion capture validation of 3D knee kinematics at various gait speed on the treadmill with a double-pose calibration.

Xavier Robert-Lachaine1, Gerald Parent2, Alexandre Fuentes3, Nicola Hagemeister2, Rachid Aissaoui2.   

Abstract

BACKGROUND: Inertial motion capture (IMC) is rapidly gaining in popularity to evaluate gait in clinical settings. Previous examinations of IMC knee kinematics were often limited to the sagittal plane and IMC calibration has not been thoroughly investigated. RESEARCH QUESTION: The objective was to validate IMC 3D knee kinematics calibrated with a double-pose during gait with reference to optical motion capture (OMC). The hypotheses are that IMC can estimate adequately knee kinematics and that both systems will detect similarly the changes with gait speed.
METHODS: Twenty-four healthy participants walked on the treadmill at gait speed of 0.6, 0.8, 1.0 and 1.2 m/s. Knee kinematics were obtained simultaneously with two magnetic and inertial measurement units and passive markers fixed on the KneeKG system. OMC was calibrated with a functional anatomical approach and the IMC with a double-pose.
RESULTS: Root mean square differences of the two systems yielded 3-6° for knee flexion, adduction and external rotation. Knee kinematics were more similar during the stance phase than the swing phase. Gait speed showed a significant progressive effect on the three knee angles that was similarly detected by the two systems. SIGNIFICANCE: IMC 3D knee kinematics can be obtained independently with a simple calibration and only two magnetic and inertial measurement units at an acceptable level of error especially during stance.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accuracy; Inertial measurement unit (IMU); Inertial sensor; KneeKG; Walk

Year:  2020        PMID: 32035296     DOI: 10.1016/j.gaitpost.2020.01.029

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  6 in total

1.  Inertial Sensor-to-Segment Calibration for Accurate 3D Joint Angle Calculation for Use in OpenSim.

Authors:  Giacomo Di Raimondo; Benedicte Vanwanseele; Arthur van der Have; Jill Emmerzaal; Miel Willems; Bryce Adrian Killen; Ilse Jonkers
Journal:  Sensors (Basel)       Date:  2022-04-24       Impact factor: 3.847

2.  Walking speed measurement technology: A review.

Authors:  Yohanna MejiaCruz; Jean Franco; Garret Hainline; Stacy Fritz; Zhaoshuo Jiang; Juan M Caicedo; Benjamin Davis; Victor Hirth
Journal:  Curr Geriatr Rep       Date:  2021-01-20

3.  Treadmill-to-Overground Mapping of Marker Trajectory for Treadmill-Based Continuous Gait Analysis.

Authors:  Woo Chang Jung; Jung Keun Lee
Journal:  Sensors (Basel)       Date:  2021-01-25       Impact factor: 3.576

4.  Three-Dimensional Lower-Limb Kinematics from Accelerometers and Gyroscopes with Simple and Minimal Functional Calibration Tasks: Validation on Asymptomatic Participants.

Authors:  Lena Carcreff; Gabriel Payen; Gautier Grouvel; Fabien Massé; Stéphane Armand
Journal:  Sensors (Basel)       Date:  2022-07-28       Impact factor: 3.847

5.  Gait Synergy Analysis and Modeling on Amputees and Stroke Patients for Lower Limb Assistive Devices.

Authors:  Feng-Yan Liang; Fei Gao; Junyi Cao; Sheung-Wai Law; Wei-Hsin Liao
Journal:  Sensors (Basel)       Date:  2022-06-25       Impact factor: 3.847

Review 6.  Sensor-to-Segment Calibration Methodologies for Lower-Body Kinematic Analysis with Inertial Sensors: A Systematic Review.

Authors:  Léonie Pacher; Christian Chatellier; Rodolphe Vauzelle; Laetitia Fradet
Journal:  Sensors (Basel)       Date:  2020-06-11       Impact factor: 3.576

  6 in total

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