• Users Online: 609
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Contacts Login 
PERSPECTIVE
Year : 2018  |  Volume : 3  |  Issue : 3  |  Page : 111-114

Using robotic-assisted technology to improve lower-limb function in people with stroke


Department of Sport & Exercise, University of Winchester, Winchester, UK

Correspondence Address:
James Faulkner
Department of Sport & Exercise, University of Winchester, Winchester
UK
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2542-3975.242959

Rights and Permissions

Robotic-assisted gait training is becoming an important component of the rehabilitation strategy when working with patients diagnosed with a stroke. To date, research has largely focused on the effect of using robotic-assisted devices on lower limb function through the assessment of gait and balance parameters in sub-acute and chronic stroke patients, in a clinical setting. However, there may be significant benefit of implementing robotic-assisted gait training devices in the acute hospital setting soon after stroke diagnosis, but also with chronic stroke patients as a home-based rehabilitation tool. This article concludes that further research is needed when considering the influence of robotic-assisted technology on the early mobilisation (i.e., ability to stand and walk with and/or without the support from a therapist) of stroke patients in the hospital setting, their implementation in a home-based environment, and the need to incorporate more robust, quantifiable and scientific techniques to evaluate stroke patient progress through a variety of biomechanical assessment parameters.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed4890    
    Printed319    
    Emailed0    
    PDF Downloaded416    
    Comments [Add]    
    Cited by others 3    

Recommend this journal