Literature DB >> 17466313

Mathematical and empirical proof of principle for an on-body personal lift augmentation device (PLAD).

Mohammad Abdoli-Eramaki1, Joan M Stevenson, Susan A Reid, Timothy J Bryant.   

Abstract

In our laboratory, we have developed a prototype of a personal lift augmentation device (PLAD) that can be worn by workers during manual handling tasks involving lifting or lowering or static holding in symmetric and asymmetric postures. Our concept was to develop a human-speed on-body assistive device that would reduce the required lumbar moment by 20-30% without negative consequences on other joints or lifting kinematics. This paper provides mathematical proof using simplified free body diagrams and two-dimensional moment balance equations. Empirical proof is also provided based on lifting trials with nine male subjects who executed sagittal plane lifts using three lifting styles (stoop, squat, free) and three different loads (5, 15, and 25kg) under two conditions (PLAD, No-PLAD). Nine Fastrak sensors and six in-line strap force sensors were used to estimate the reduction of compressive and shear forces on L4/L5 as well as estimate the forces transferred to the shoulders and knees. Depending on lifting technique, the PLAD applied an added 23-36Nm of torque to assist the back muscles during lifting tasks. The peak pelvic girdle contact forces were estimated and their magnitudes ranged from 221.3+/-11.2N for stoop lifting, 324.3+/-17.2N for freestyle lifts to 468.47+/-23.2N for squat lifting. The PLAD was able to reduce the compression and shear forces about 23-29% and 7.9-8.5%, respectively.

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Mesh:

Year:  2007        PMID: 17466313     DOI: 10.1016/j.jbiomech.2006.09.006

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


  8 in total

1.  A Real-Time Lift Detection Strategy for a Hip Exoskeleton.

Authors:  Baojun Chen; Lorenzo Grazi; Francesco Lanotte; Nicola Vitiello; Simona Crea
Journal:  Front Neurorobot       Date:  2018-04-12       Impact factor: 2.650

2.  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

Review 3.  Review of Current Spinal Robotic Orthoses.

Authors:  Siu Kei David Mak; Dino Accoto
Journal:  Healthcare (Basel)       Date:  2021-01-13

4.  Wearable Exoskeletons on the Workplaces: Knowledge, Attitudes and Perspectives of Health and Safety Managers on the implementation of exoskeleton technology in Northern Italy.

Authors:  Matteo Riccò; Silvia Ranzieri; Luigi Vezzosi; Federica Balzarini; Nicola Luigi Bragazzi
Journal:  Acta Biomed       Date:  2022-01-19

5.  Changes in Back Compressive Force When Measuring Maximum Acceptable Weight of Lift in Iranian Male Students.

Authors:  Ali Salehi Sahl Abadi; Gebraeil Nasl Saraji; Adel Mazloumi; Hojjat Zeraati; Mohammad Reza Hadian; Amir Homayoun Jafari
Journal:  Iran J Public Health       Date:  2016-09       Impact factor: 1.429

6.  Passive Trunk Exoskeleton Acceptability and Effects on Self-efficacy in Employees with Low-Back Pain: A Mixed Method Approach.

Authors:  S J Baltrusch; H Houdijk; J H van Dieën; J Th C M de Kruif
Journal:  J Occup Rehabil       Date:  2021-03

7.  Low-Cost Force Sensors Embedded in Physical Human-Machine Interfaces: Concept, Exemplary Realization on Upper-Body Exoskeleton, and Validation.

Authors:  Niclas Hoffmann; Samet Ersoysal; Gilbert Prokop; Matthias Hoefer; Robert Weidner
Journal:  Sensors (Basel)       Date:  2022-01-10       Impact factor: 3.576

8.  Feasibility of a Biomechanically-Assistive Garment to Reduce Low Back Loading During Leaning and Lifting.

Authors:  Erik P Lamers; Aaron J Yang; Karl E Zelik
Journal:  IEEE Trans Biomed Eng       Date:  2017-10-09       Impact factor: 4.538

  8 in total

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