Literature DB >> 32517865

Estimating upper extremity joint loads of persons with spinal cord injury walking with a lower extremity powered exoskeleton and forearm crutches.

Andrew J J Smith1, Brandon N Fournier2, Julie Nantel3, Edward D Lemaire4.   

Abstract

Lower extremity powered exoskeletons with crutch support can provide upright mobility to persons with complete spinal cord injury (SCI); however, crutch use for balance and weight transfer may increase upper extremity (UE) joint loads and injury risk. This research presented the first exoskeleton-human musculoskeletal model to estimate upper extremity biomechanics, driven by 3D motion data of persons with complete SCI walking with an exoskeleton and crutch assistance. Forearm crutches instrumented with strain gauges, force plates, and a 3D motion capture system were used to collect kinematic and kinetic data from five persons with complete SCI while walking with the ARKE exoskeleton. Model output estimated participant upper extremity kinematics, kinetics, and crutch forces. Compared to inverse dynamic biomechanical crutch model studies of persons with incomplete SCI, exoskeleton users walked with more anterior trunk tilt and twice the shoulder flexion angle. Anterior tilt increased forces and moments at the crutch, shoulder, and elbow. Crutch floor contact periods were 30-40% longer, resulting in upper extremity joint impulses 5 to 12 times greater than previously reported. Reducing UE joint loading is important to reduce overuse injuries associated with ambulatory assistive devices. Incorporating a variable assist ankle joint or more experience with exoskeleton walking may reduce UE joint loads, and minimise injury risk. Study outcomes provide a quantitative understanding of UE dynamics during exoskeleton walking that can be used to improve device design, training, and rehabilitation.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Biomechanics; Crutches; Exoskeleton; Modeling; Shoulder; Spinal cord injury; Upper extremity

Mesh:

Year:  2020        PMID: 32517865     DOI: 10.1016/j.jbiomech.2020.109835

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


  2 in total

1.  Ergonomic Assessment of a Lower-Limb Exoskeleton through Electromyography and Anybody Modeling System.

Authors:  Yong-Ku Kong; Kyeong-Hee Choi; Min-Uk Cho; Seoung-Yoen Kim; Min-Jung Kim; Jin-Woo Shim; Sang-Soo Park; Kyung-Ran Kim; Min-Tae Seo; Hye-Seon Chae; Hyun-Ho Shim
Journal:  Int J Environ Res Public Health       Date:  2022-07-01       Impact factor: 4.614

2.  Physiotherapy using a free-standing robotic exoskeleton for patients with spinal cord injury: a feasibility study.

Authors:  Nicola Postol; Neil J Spratt; Andrew Bivard; Jodie Marquez
Journal:  J Neuroeng Rehabil       Date:  2021-12-25       Impact factor: 4.262

  2 in total

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