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      Benchmarking commercially available soft and rigid passive back exoskeletons for an industrial workplace

      research-article
      , , , ,
      Wearable Technologies
      Cambridge University Press
      biomechanics, exoskeletons, exosuits

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          Abstract

          Low-back pain is a common occupational hazard for industrial workers. Several studies show the advantages of using rigid and soft back-support passive exoskeletons and exosuits (exos) to reduce the low-back loading and risk of injury. However, benefits of using these exos have been shown to be task-specific. Therefore, in this study, we developed a benchmarking approach to assess exos for an industrial workplace at Hankamp Gears B.V. We assessed two rigid (Laevo Flex, Paexo back) and two soft (Auxivo Liftsuit 1.0, and Darwing Hakobelude) exos for tasks resembling the workplace. We measured the assistive moment provided by each exo and their respective influence on muscle activity as well as the user’s perception of comfort and exertion. Ten participants performed four lifting tasks ( Static hold, Asymmetric, Squat, and Stoop), while their electromyography and subjective measures were collected. The two rigid exos provided the largest assistance during the Dynamic tasks. Reductions in erector spinae activity were seen to be task-specific, with larger reductions for the two rigid exos. Overall, Laevo Flex offered a good balance between assistive moments, reductions in muscle activity, as well as user comfort and reductions in perceived exertion. Thus, we recommend benchmarking exos for intended use in the industrial workplace. This will hopefully result in a better adoption of the back-support exoskeletons in the workplace and help reduce low-back pain.

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          Most cited references54

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          Risk factors for work-related musculoskeletal disorders: A systematic review of recent longitudinal studies.

          This systematic review was designed and conducted in an effort to evaluate the evidence currently available for the many suggested risk factors for work-related musculoskeletal disorders. To identify pertinent literature we searched four electronic databases (Cinahl, Embase, Medline, and The Cochrane Library). The search strategies combined terms for musculoskeletal disorders, work, and risk factors. Only case-control or cohort studies were included. A total of 1,761 non-duplicated articles were identified and screened, and 63 studies were reviewed and integrated in this article. The risk factors identified for the development of work-related musculoskeletal disorders were divided and organized according to the affected body part, type of risk factor (biomechanical, psychosocial, or individual) and level of evidence (strong, reasonable, or insufficient evidence). Risk factors with at least reasonable evidence of a causal relationship for the development of work-related musculoskeletal disorders include: heavy physical work, smoking, high body mass index, high psychosocial work demands, and the presence of co-morbidities. The most commonly reported biomechanical risk factors with at least reasonable evidence for causing WMSD include excessive repetition, awkward postures, and heavy lifting. Additional high methodological quality studies are needed to further understand and provide stronger evidence of the causal relationship between risk factors and work-related musculoskeletal disorders. The information provided in this article may be useful to healthcare providers, researchers, and ergonomists interested on risk identification and design of interventions to reduce the rates of work-related musculoskeletal disorders. 2009 Wiley-Liss, Inc.
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            A critical review of visual analogue scales in the measurement of clinical phenomena.

            Visual analogue scales (VAS) have been used in the social and behavioral sciences to measure a variety of subjective phenomena. The VAS method has potential utility for the measurement of a variety of clinical phenomena of interest to nurse investigators. In this review a description of the various forms of the VAS and an historical overview of their development are presented. In addition, conceptual, psychometric, and statistical aspects of the VAS are considered. Finally, strengths and limitations of the VAS method are addressed.
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              Revised NIOSH equation for the design and evaluation of manual lifting tasks.

              In 1985, the National Institute for Occupational Safety and Health (NIOSH) convened an ad hoc committee of experts who reviewed the current literature on lifting, recommend criteria for defining lifting capacity, and in 1991 developed a revised lifting equation. Subsequently, NIOSH developed the documentation for the equation and played a prominent role in recommending methods for interpreting the results of the equation. The 1991 equation reflects new findings and provides methods for evaluating asymmetrical lifting tasks, lifts of objects with less than optimal hand-container couplings, and also provides guidelines for a larger range of work durations and lifting frequencies than the 1981 equation. This paper provides the basis for selecting the three criteria (biomechanical, physiological, and psychophysical) that were used to define the 1991 equation, and describes the derivation of the individual components (Putz-Anderson and Waters 1991). The paper also describes the lifting index (LI), an index of relative physical stress, that can be used to identify hazardous lifting tasks. Although the 1991 equation has not been fully validated, the recommended weight limits derived from the revised equation are consistent with or lower than those generally reported in the literature. NIOSH believes that the revised 1991 lifting equation is more likely than the 1981 equation to protect most workers.
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                Author and article information

                Journal
                Wearable Technol
                Wearable Technol
                WTC
                Wearable Technologies
                Cambridge University Press (Cambridge, UK )
                2631-7176
                2024
                15 February 2024
                : 5
                : e6
                Affiliations
                [1]Department of Biomechanical Engineering, University of Twente , Enschede, The Netherlands
                Author notes
                Corresponding author: Mohamed I. Mohamed Refai; Email: m.i.mohamedrefai@ 123456utwente.nl
                Author information
                https://orcid.org/0000-0002-3617-5131
                Article
                S2631717624000021
                10.1017/wtc.2024.2
                10952052
                38510984
                68f7cdd2-7d5f-4ff4-badd-ee9dde8e9146
                © The Author(s) 2024

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 20 June 2023
                : 22 December 2023
                : 19 January 2024
                Page count
                Figures: 6, Tables: 4, References: 60, Pages: 16
                Funding
                Funded by: Interreg North Sea Region
                Award ID: Exskallerate project
                Funded by: Stichting voor de Technische Wetenschappen, doi http://dx.doi.org/10.13039/501100003958;
                Award ID: P16-05
                Funded by: EU Horizon 2020
                Award ID: 871237
                Categories
                Research Article

                biomechanics,exoskeletons,exosuits
                biomechanics, exoskeletons, exosuits

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