Literature DB >> 31968306

Effect of Mechanically Passive, Wearable Shoulder Exoskeletons on Muscle Output During Dynamic Upper Extremity Movements: A Computational Simulation Study.

Allison J Nelson1,2, Patrick T Hall1, Katherine R Saul3, Dustin L Crouch1.   

Abstract

Wearable passive (ie, spring powered) shoulder exoskeletons could reduce muscle output during motor tasks to help prevent or treat shoulder musculoskeletal disorders. However, most wearable passive shoulder exoskeletons have been designed and evaluated for static tasks, so it is unclear how they affect muscle output during dynamic tasks. The authors used a musculoskeletal model and Computed Muscle Control optimization to estimate muscle output with and without a wearable passive shoulder exoskeleton during 2 simulated dynamic tasks: abduction and upward reach. To an existing upper extremity musculoskeletal model, the authors added an exoskeleton model with 3-dimensional representations of the exoskeleton components, including a spring, cam wheel, force-transmitting shoulder cable, and wrapping surfaces that permitted the shoulder cable to wrap over the shoulder. The exoskeleton reduced net muscle-generated moments in positive shoulder elevation by 28% and 62% during the abduction and upward reach, respectively. However, muscle outputs (joint moments and muscle effort) were higher with the exoskeleton than without at some points of the movement. Muscle output was higher with the exoskeleton because the exoskeleton moment opposed the muscle-generated moment in some postures. The results of this study highlight the importance of evaluating muscle output for passive exoskeletons designed to support dynamic movements to ensure that the exoskeletons assist, rather than impede, movement.

Entities:  

Keywords:  arm; assistance; model; musculoskeletal; orthotics

Year:  2020        PMID: 31968306     DOI: 10.1123/jab.2018-0369

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  3 in total

1.  Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography.

Authors:  Marek Sierotowicz; Donato Brusamento; Benjamin Schirrmeister; Mathilde Connan; Jonas Bornmann; Jose Gonzalez-Vargas; Claudio Castellini
Journal:  Front Robot AI       Date:  2022-09-12

2.  A segmented forearm model of hand pronation-supination approximates joint moments for real time applications.

Authors:  Matthew G Yough; Russell L Hardesty; Sergiy Yakovenko; Valeriya Gritsenko
Journal:  Int IEEE EMBS Conf Neural Eng       Date:  2021-06-02

Review 3.  Wearables for Biomechanical Performance Optimization and Risk Assessment in Industrial and Sports Applications.

Authors:  Sam McDevitt; Haley Hernandez; Jamison Hicks; Russell Lowell; Hamza Bentahaikt; Reuben Burch; John Ball; Harish Chander; Charles Freeman; Courtney Taylor; Brock Anderson
Journal:  Bioengineering (Basel)       Date:  2022-01-13
  3 in total

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