Literature DB >> 17382283

Evaluation of a hybrid system for three-dimensional measurement of trunk posture in motion.

A Plamondon1, A Delisle, C Larue, D Brouillette, D McFadden, P Desjardins, C Larivière.   

Abstract

Ambulatory assessment of trunk posture is important in improving our understanding of the risk of low back injury. Recently, small inertial sensors combining accelerometers, gyroscopes and magnetometers were developed and appear to be promising for measuring human movement. However, the validity of such sensors for assessing three-dimensional (3D) trunk posture in motion has not been documented. The purpose of this study was to evaluate a hybrid system (HS) composed of two inertial sensors for the 3D measurement of trunk posture. A secondary purpose was to explore the utility of adding another source of information, a potentiometer, to measure the relative rotation between both sensors in order to improve the validity of the system. The first sensor was placed over the sacrum and the second on the upper part of the thorax. Both sensors were linked by a flexible rod with a potentiometer. A complementary quaternion filter algorithm was used to estimate trunk orientation by taking advantage of the nine components of each sensor and the potentiometer. The HS's orientations were compared to those obtained from a 3D optoelectronic system. Validation of the HS was performed in three steps in which six subjects had to perform manual handling tasks in: (1) static postures; (2) dynamic motions of short duration (30s); and (3) dynamic motions of long duration (30min). The results showed that the root mean square (RMS) error of the HS was generally below 3 degrees for the flexion and lateral bending axes, and less than 6 degrees for the torsion axis, and that this error was lower for the short-duration tests compared to the long-duration one. The potentiometer proved to be an essential addition, particularly when the magnetometer signals were corrupted and only the gyroscope and accelerometer could be combined. It is concluded that the HS can be a useful tool for quantifying 3D trunk posture in motion.

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Year:  2007        PMID: 17382283     DOI: 10.1016/j.apergo.2006.12.006

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  13 in total

1.  Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis.

Authors:  Xavier Robert-Lachaine; Hakim Mecheri; Christian Larue; André Plamondon
Journal:  Med Biol Eng Comput       Date:  2016-07-05       Impact factor: 2.602

2.  Accuracy and repeatability of an inertial measurement unit system for field-based occupational studies.

Authors:  Mark C Schall; Nathan B Fethke; Howard Chen; Sakiko Oyama; David I Douphrate
Journal:  Ergonomics       Date:  2015-10-07       Impact factor: 2.561

3.  Autonomous Quality Control of Joint Orientation Measured with Inertial Sensors.

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Sensors (Basel)       Date:  2016-07-05       Impact factor: 3.576

4.  Measurement and Geometric Modelling of Human Spine Posture for Medical Rehabilitation Purposes Using a Wearable Monitoring System Based on Inertial Sensors.

Authors:  Gheorghe-Daniel Voinea; Silviu Butnariu; Gheorghe Mogan
Journal:  Sensors (Basel)       Date:  2016-12-22       Impact factor: 3.576

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

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Biomed Eng Online       Date:  2017-05-15       Impact factor: 2.819

6.  Reproducibility and discriminant validity of two clinically feasible measurement methods to obtain coronal plane gait kinematics in participants with a lower extremity amputation.

Authors:  Ruud A Leijendekkers; Thomas J Hoogeboom; Gerben van Hinte; Lars Didden; Thomas Anijs; Maria W G Nijhuis-van der Sanden; Nico Verdonschot
Journal:  PLoS One       Date:  2019-05-21       Impact factor: 3.240

7.  Cluster-based exposure variation analysis.

Authors:  Afshin Samani; Svend Erik Mathiassen; Pascal Madeleine
Journal:  BMC Med Res Methodol       Date:  2013-04-04       Impact factor: 4.615

8.  The use of inertial sensors system for human motion analysis.

Authors:  Antonio I Cuesta-Vargas; Alejandro Galán-Mercant; Jonathan M Williams
Journal:  Phys Ther Rev       Date:  2010-12

9.  Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations.

Authors:  Brice Bouvier; Sonia Duprey; Laurent Claudon; Raphaël Dumas; Adriana Savescu
Journal:  Sensors (Basel)       Date:  2015-07-31       Impact factor: 3.576

10.  Validation of the angular measurements of a new inertial-measurement-unit based rehabilitation system: comparison with state-of-the-art gait analysis.

Authors:  Alberto Leardini; Giada Lullini; Sandro Giannini; Lisa Berti; Maurizio Ortolani; Paolo Caravaggi
Journal:  J Neuroeng Rehabil       Date:  2014-09-11       Impact factor: 4.262

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