File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Bio-inspired upper limb soft exoskeleton to reduce stroke-induced complications

TitleBio-inspired upper limb soft exoskeleton to reduce stroke-induced complications
Authors
Keywordsbiomimetic robot
functional anatomy
lightweight and ergonomic
motion ability recovery
muscle tension linearization
soft bionic exoskeleton robot
stroke-induced complication
Issue Date2018
PublisherInstitute of Physics Publishing Ltd. The Journal's web site is located at http://iopscience.iop.org/1748-3190
Citation
Bioinspiration & Biomimetics, 2018, v. 13, p. 066001 How to Cite?
AbstractStroke has become the leading cause of disability and the second-leading cause of mortality worldwide. Dyskinesia complications are the major reason of these high death and disability rates. As a tool for rapid motion function recovery in stroke patients, exoskeleton robots can reduce complications and thereby decrease stroke mortality rates. However, existing exoskeleton robots interfere with the wearer's natural motion and damage joints and muscles due to poor human-machine coupling. In this paper, a novel ergonomic soft bionic exoskeleton robot with 7 degrees of freedom was proposed to address these problems based on the principles of functional anatomy and sports biomechanics. First, the human motion system was analysed according to the functional anatomy, and the muscles were modelled as tension lines. Second, a soft bionic robot was established based on the musculoskeletal tension line model. Third, a robot control method mimicking human muscle control principles was proposed and optimized on a humanoid platform manufactured using 3D printing. After the control method was optimized, the motion trajectory similarities between humans and the platform exceeded 87%. Fourth, the force-assisted effect was tested based on electromyogram signals, and the results showed that muscle signals decreased by 58.17% after robot assistance. Finally, motion-assistance experiments were performed with stroke patients. The joint movement level increased by 174% with assistance, which allowed patients to engage in activities of daily living. With this robot, stroke patients could recover their motion functions, preventing complications and decreasing fatality and disability rates.
Persistent Identifierhttp://hdl.handle.net/10722/262189
ISSN
2022 Impact Factor: 3.4
2020 SCImago Journal Rankings: 0.905
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, N-
dc.contributor.authorYang, T-
dc.contributor.authorYu, P-
dc.contributor.authorChang, J-
dc.contributor.authorZhao, L-
dc.contributor.authorZhao, X-
dc.contributor.authorElhajj, I-
dc.contributor.authorXi, N-
dc.contributor.authorLiu, L-
dc.date.accessioned2018-09-28T04:54:50Z-
dc.date.available2018-09-28T04:54:50Z-
dc.date.issued2018-
dc.identifier.citationBioinspiration & Biomimetics, 2018, v. 13, p. 066001-
dc.identifier.issn1748-3182-
dc.identifier.urihttp://hdl.handle.net/10722/262189-
dc.description.abstractStroke has become the leading cause of disability and the second-leading cause of mortality worldwide. Dyskinesia complications are the major reason of these high death and disability rates. As a tool for rapid motion function recovery in stroke patients, exoskeleton robots can reduce complications and thereby decrease stroke mortality rates. However, existing exoskeleton robots interfere with the wearer's natural motion and damage joints and muscles due to poor human-machine coupling. In this paper, a novel ergonomic soft bionic exoskeleton robot with 7 degrees of freedom was proposed to address these problems based on the principles of functional anatomy and sports biomechanics. First, the human motion system was analysed according to the functional anatomy, and the muscles were modelled as tension lines. Second, a soft bionic robot was established based on the musculoskeletal tension line model. Third, a robot control method mimicking human muscle control principles was proposed and optimized on a humanoid platform manufactured using 3D printing. After the control method was optimized, the motion trajectory similarities between humans and the platform exceeded 87%. Fourth, the force-assisted effect was tested based on electromyogram signals, and the results showed that muscle signals decreased by 58.17% after robot assistance. Finally, motion-assistance experiments were performed with stroke patients. The joint movement level increased by 174% with assistance, which allowed patients to engage in activities of daily living. With this robot, stroke patients could recover their motion functions, preventing complications and decreasing fatality and disability rates.-
dc.languageeng-
dc.publisherInstitute of Physics Publishing Ltd. The Journal's web site is located at http://iopscience.iop.org/1748-3190-
dc.relation.ispartofBioinspiration & Biomimetics-
dc.rightsBioinspiration & Biomimetics. Copyright © Institute of Physics Publishing.-
dc.rightsThis is an author-created, un-copyedited version of an article published in [insert name of journal]. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/[insert DOI].-
dc.subjectbiomimetic robot-
dc.subjectfunctional anatomy-
dc.subjectlightweight and ergonomic-
dc.subjectmotion ability recovery-
dc.subjectmuscle tension linearization-
dc.subjectsoft bionic exoskeleton robot-
dc.subjectstroke-induced complication-
dc.titleBio-inspired upper limb soft exoskeleton to reduce stroke-induced complications-
dc.typeArticle-
dc.identifier.emailXi, N: xining@hku.hk-
dc.identifier.authorityXi, N=rp02044-
dc.identifier.doi10.1088/1748-3190/aad8d4-
dc.identifier.scopuseid_2-s2.0-85056466145-
dc.identifier.hkuros292459-
dc.identifier.volume13-
dc.identifier.spage066001-
dc.identifier.epage066001-
dc.identifier.isiWOS:000442657000001-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1748-3182-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats