Literature DB >> 29054609

Estimating the L5S1 flexion/extension moment in symmetrical lifting using a simplified ambulatory measurement system.

Axel S Koopman1, Idsart Kingma2, Gert S Faber1, Jonas Bornmann3, Jaap H van Dieën1.   

Abstract

Mechanical loading of the spine has been shown to be an important risk factor for the development of low-back pain. Inertial motion capture (IMC) systems might allow measuring lumbar moments in realistic working conditions, and thus support evaluation of measures to reduce mechanical loading. As the number of sensors limits applicability, the objective of this study was to investigate the effect of the number of sensors on estimates of L5S1 moments. Hand forces, ground reaction forces (GRF) and full-body kinematics were measured using a gold standard (GS) laboratory setup. In the ambulatory setup, hand forces were estimated based on the force plates measured GRF and body kinematics that were measured using (subsets of) an IMC system. Using top-down inverse dynamics, L5S1 flexion/extension moments were calculated. RMSerrors (Nm) were lowest (16.6) with the full set of 17 sensors and increased to 20.5, 22 and 30.6, for 8, 6 and 4 sensors. Absolute errors in peak moments (Nm) ranged from 17.7 to 16.4, 16.9 and 49.3 Nm, for IMC setup's with 17, 8, 6 and 4 sensors, respectively. When horizontal GRF were neglected for 6 sensors, RMSerrors and peak moment errors decreased from 22 to 17.3 and from 16.9 to 13 Nm, respectively. In conclusion, while reasonable moment estimates can be obtained with 6 sensors, omitting the forearm sensors led to unacceptable errors. Furthermore, vertical GRF information is sufficient to estimate L5S1 moments in lifting.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Ambulatory measurements; Inertial sensors & vertical ground reaction forces; Low-back pain; Mechanical loading

Mesh:

Year:  2017        PMID: 29054609     DOI: 10.1016/j.jbiomech.2017.10.001

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  4 in total

1.  A Promising Wearable Solution for the Practical and Accurate Monitoring of Low Back Loading in Manual Material Handling.

Authors:  Emily S Matijevich; Peter Volgyesi; Karl E Zelik
Journal:  Sensors (Basel)       Date:  2021-01-06       Impact factor: 3.576

2.  Automatically Determining Lumbar Load during Physically Demanding Work: A Validation Study.

Authors:  Charlotte Christina Roossien; Christian Theodoor Maria Baten; Mitchel Willem Pieter van der Waard; Michiel Felix Reneman; Gijsbertus Jacob Verkerke
Journal:  Sensors (Basel)       Date:  2021-04-02       Impact factor: 3.576

Review 3.  Inertial Motion Capture-Based Wearable Systems for Estimation of Joint Kinetics: A Systematic Review.

Authors:  Chang June Lee; Jung Keun Lee
Journal:  Sensors (Basel)       Date:  2022-03-25       Impact factor: 3.576

4.  Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling.

Authors:  Antoine Muller; Hakim Mecheri; Philippe Corbeil; André Plamondon; Xavier Robert-Lachaine
Journal:  Sensors (Basel)       Date:  2022-08-26       Impact factor: 3.847

  4 in total

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