Literature DB >> 33500935

Rationale, Implementation and Evaluation of Assistive Strategies for an Active Back-Support Exoskeleton.

Stefano Toxiri1,2, Axel S Koopman3, Maria Lazzaroni1,4, Jesús Ortiz1, Valerie Power5, Michiel P de Looze3,6, Leonard O'Sullivan5,7, Darwin G Caldwell1.   

Abstract

Active exoskeletons are potentially more effective and versatile than passive ones, but designing them poses a number of additional challenges. An important open challenge in the field is associated to the assistive strategy, by which the actuation forces are modulated to the user's needs during the physical activity. This paper addresses this challenge on an active exoskeleton prototype aimed at reducing compressive low-back loads, associated to risk of musculoskeletal injury during manual material handling (i.e., repeatedly lifting objects). An analysis of the biomechanics of the physical task reveals two key factors that determine low-back loads. For each factor, a suitable control strategy for the exoskeleton is implemented. The first strategy is based on user posture and modulates the assistance to support the wearer's own upper body. The second one adapts to the mass of the lifted object and is a practical implementation of electromyographic control. A third strategy is devised as a generalized combination of the first two. With these strategies, the proposed exoskeleton can quickly adjust to different task conditions (which makes it versatile compared to using multiple, task-specific, devices) as well as to individual preference (which promotes user acceptance). Additionally, the presented implementation is potentially applicable to more powerful exoskeletons, capable of generating larger forces. The different strategies are implemented on the exoskeleton and tested on 11 participants in an experiment reproducing the lifting task. The resulting data highlights that the strategies modulate the assistance as intended by design, i.e., they effectively adjust the commanded assistive torque during operation based on user posture and external mass. The experiment also provides evidence of significant reduction in muscular activity at the lumbar spine (around 30%) associated to using the exoskeleton. The reduction is well in line with previous literature and may be associated to lower risk of injury.
Copyright © 2018 Toxiri, Koopman, Lazzaroni, Ortiz, Power, de Looze, O'Sullivan and Caldwell.

Entities:  

Keywords:  electromyography; exoskeleton; manual material handling; myocontrol; powered; strategy

Year:  2018        PMID: 33500935      PMCID: PMC7805873          DOI: 10.3389/frobt.2018.00053

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  19 in total

1.  A comparison of peak vs cumulative physical work exposure risk factors for the reporting of low back pain in the automotive industry.

Authors:  R. Norman; R. Wells; P. Neumann; J. Frank; H. Shannon; M. Kerr
Journal:  Clin Biomech (Bristol, Avon)       Date:  1998-12       Impact factor: 2.063

2.  Gastrocnemius myoelectric control of a robotic hip exoskeleton.

Authors:  Lorenzo Grazi; Simona Crea; Andrea Parri; Tingfang Yan; Mario Cortese; Francesco Giovacchini; Marco Cempini; Guido Pasquini; Silvestro Micera; Nicola Vitiello
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015

3.  Intention-based EMG control for powered exoskeletons.

Authors:  T Lenzi; S M M De Rossi; N Vitiello; M C Carrozza
Journal:  IEEE Trans Biomed Eng       Date:  2012-05-10       Impact factor: 4.538

4.  Oscillator-based assistance of cyclical movements: model-based and model-free approaches.

Authors:  Renaud Ronsse; Tommaso Lenzi; Nicola Vitiello; Bram Koopman; Edwin van Asseldonk; Stefano Marco Maria De Rossi; Jesse van den Kieboom; Herman van der Kooij; Maria Chiara Carrozza; Auke Jan Ijspeert
Journal:  Med Biol Eng Comput       Date:  2011-09-01       Impact factor: 2.602

Review 5.  The effect of lifting during work on low back pain: a health impact assessment based on a meta-analysis.

Authors:  Pieter Coenen; Vincent Gouttebarge; Aafje S A M van der Burght; Jaap H van Dieën; Monique H W Frings-Dresen; Allard J van der Beek; Alex Burdorf
Journal:  Occup Environ Med       Date:  2014-08-27       Impact factor: 4.402

6.  Experimental evaluation of a sEMG-based control for elbow wearable assistive devices during load lifting tasks.

Authors:  Roberto Meattini; Gianluca Palli; Claudio Melchiorri
Journal:  IEEE Int Conf Rehabil Robot       Date:  2017-07

7.  Assessment of an active industrial exoskeleton to aid dynamic lifting and lowering manual handling tasks.

Authors:  Kirsten Huysamen; Michiel de Looze; Tim Bosch; Jesus Ortiz; Stefano Toxiri; Leonard W O'Sullivan
Journal:  Appl Ergon       Date:  2017-11-21       Impact factor: 3.661

8.  Revised NIOSH equation for the design and evaluation of manual lifting tasks.

Authors:  T R Waters; V Putz-Anderson; A Garg; L J Fine
Journal:  Ergonomics       Date:  1993-07       Impact factor: 2.778

9.  Experimental Validation of Motor Primitive-Based Control for Leg Exoskeletons during Continuous Multi-Locomotion Tasks.

Authors:  Virginia Ruiz Garate; Andrea Parri; Tingfang Yan; Marko Munih; Raffaele Molino Lova; Nicola Vitiello; Renaud Ronsse
Journal:  Front Neurorobot       Date:  2017-03-17       Impact factor: 2.650

Review 10.  Recent developments and challenges of lower extremity exoskeletons.

Authors:  Bing Chen; Hao Ma; Lai-Yin Qin; Fei Gao; Kai-Ming Chan; Sheung-Wai Law; Ling Qin; Wei-Hsin Liao
Journal:  J Orthop Translat       Date:  2015-10-17       Impact factor: 5.191

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  2 in total

1.  Equivalent Weight: Connecting Exoskeleton Effectiveness with Ergonomic Risk during Manual Material Handling.

Authors:  Christian Di Natali; Giorgia Chini; Stefano Toxiri; Luigi Monica; Sara Anastasi; Francesco Draicchio; Darwin G Caldwell; Jesús Ortiz
Journal:  Int J Environ Res Public Health       Date:  2021-03-07       Impact factor: 3.390

2.  Gaussian Mixture Models for Control of Quasi-Passive Spinal Exoskeletons.

Authors:  Marko Jamšek; Tadej Petrič; Jan Babič
Journal:  Sensors (Basel)       Date:  2020-05-09       Impact factor: 3.576

  2 in total

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