Literature DB >> 11595553

Lumbar loading during lifting: a comparative study of three measurement techniques.

I Kingma1, C T Baten, P Dolan, H M Toussaint, J H van Dieën, M P de Looze, M A Adams.   

Abstract

Low back loading during occupational lifting is thought to be an important causative factor in the development of low back pain. In order to regulate spinal loading in the workplace, it is necessary to measure it accurately. Various methods have been developed to do this, but each has its own limitations, and none can be considered a "gold standard". The purpose of the current study was to compare the results of three contrasting techniques in order to gain insight into possible sources of error to which each is susceptible. The three techniques were a linked segment model (LSM), an electromyographic (EMG)-based model, and a neural network (NN) that used both EMG and inertial sensing techniques. All three techniques were applied simultaneously to calculate spinal loading when eight volunteers performed a total of eight lifts in a laboratory setting. Averaged results showed that, in comparison with the LSM, the EMG technique calculated a 25.5+/-33.4% higher peak torque and the NN technique a 17.3+/-10.5% lower peak torque. Differences between the techniques varied with lifting speed and method of lifting, and could be attributed to differences in anthropometric assumptions, antagonistic muscle activity, damping of transient force peaks by body tissues, and, specific to the NN, underestimation of trunk flexion. The results of the current study urge to reconsider the validity of other models by independent comparisons.

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Year:  2001        PMID: 11595553     DOI: 10.1016/s1050-6411(01)00011-6

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  10 in total

1.  Analysis of squat and stoop dynamic liftings: muscle forces and internal spinal loads.

Authors:  Babak Bazrgari; Aboulfazl Shirazi-Adl; Navid Arjmand
Journal:  Eur Spine J       Date:  2006-11-14       Impact factor: 3.134

2.  Kinesiophobia modulates lumbar movements in people with chronic low back pain: a kinematic analysis of lumbar bending and returning movement.

Authors:  Michihiro Osumi; Masahiko Sumitani; Yuko Otake; Tomohiko Nishigami; Akira Mibu; Yuki Nishi; Ryota Imai; Gosuke Sato; Yusuke Nagakura; Shu Morioka
Journal:  Eur Spine J       Date:  2019-05-21       Impact factor: 3.134

Review 3.  A Systematic Review on Evaluation Strategies for Field Assessment of Upper-Body Industrial Exoskeletons: Current Practices and Future Trends.

Authors:  Pranav Madhav Kuber; Masoud Abdollahi; Mohammad Mehdi Alemi; Ehsan Rashedi
Journal:  Ann Biomed Eng       Date:  2022-08-02       Impact factor: 4.219

4.  THREE-DIMENSIONAL MULTI-SEGMENTED SPINE JOINT REACTION FORCES DURING COMMON WORKPLACE PHYSICAL DEMANDS/ACTIVITIES OF DAILY LIVING.

Authors:  Scott P Breloff; Li-Shan Chou
Journal:  Biomed Eng (Singapore)       Date:  2017-08-14

Review 5.  Current trends in tendinopathy: consensus of the ESSKA basic science committee. Part I: biology, biomechanics, anatomy and an exercise-based approach.

Authors:  F Abat; H Alfredson; M Cucchiarini; H Madry; A Marmotti; C Mouton; J M Oliveira; H Pereira; G M Peretti; D Romero-Rodriguez; C Spang; J Stephen; C J A van Bergen; L de Girolamo
Journal:  J Exp Orthop       Date:  2017-05-30

Review 6.  Identifying relationships between sleep posture and non-specific spinal symptoms in adults: A scoping review.

Authors:  Doug Cary; Kathy Briffa; Leanda McKenna
Journal:  BMJ Open       Date:  2019-06-28       Impact factor: 2.692

7.  Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach.

Authors:  Ilaria Conforti; Ilaria Mileti; Zaccaria Del Prete; Eduardo Palermo
Journal:  Sensors (Basel)       Date:  2020-03-11       Impact factor: 3.576

8.  Passive Back Support Exoskeleton Improves Range of Motion Using Flexible Beams.

Authors:  Matthias B Näf; Axel S Koopman; Saskia Baltrusch; Carlos Rodriguez-Guerrero; Bram Vanderborght; Dirk Lefeber
Journal:  Front Robot AI       Date:  2018-06-21

9.  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

10.  The effect of lifting speed on cumulative and peak biomechanical loading for symmetric lifting tasks.

Authors:  Kasey O Greenland; Andrew S Merryweather; Donald S Bloswick
Journal:  Saf Health Work       Date:  2013-04-12
  10 in total

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