Nature, timing, frequency and type of augmented feedback; does it influence motor relearning of the hemiparetic arm after stroke? A systematic review.

Share/Save/Bookmark

Molier, Birgit I. and Asseldonk, Edwin H.F. van and Hermens, Hermie J. and Jannink, M (2010) Nature, timing, frequency and type of augmented feedback; does it influence motor relearning of the hemiparetic arm after stroke? A systematic review. Disability and Rehabilitation, 32 (22). pp. 1799-1809. ISSN 0963-8288

[img] PDF
Restricted to UT campus only
: Request a copy
269kB
Abstract:Purpose: To investigate the effect of different aspects and types of augmented feedback on motor functions and motor activities of the hemiparetic arm after stroke. -
Method: Systematic search of the scientific literature was performed in the Pubmed and Cochrane database from 1975 to March 2009. The augmented feedback used in the intervention was classified with respect to aspects (nature, timing and frequency) and types (auditory, sensory and visual). -
Results: The systematic literature search resulted in 299 citations. On the basis of inclusion and exclusion criteria, 23 full-text articles were included for analysis. There are some trends in favour of providing augmented knowledge of performance feedback, augmented auditory and combined sensory and visual feedback. No consistent effects on motor relearning were observed for summary or faded, terminal or concurrent, solely visual or solely sensory augmented feedback. -
Conclusions: On the basis of this study, it was not possible to determine which combinations of aspects and types of augmented feedback are most essential for a beneficial effect on motor activities and motor functions of the hemiparetic arm after stroke. This was due to the combination of multiple aspects and types of augmented feedback in the included studies. This systematic review indicates that augmented feedback in general has an added value for stroke rehabilitation.
Item Type:Article
Copyright:© 2010 Informa
Faculty:
Engineering Technology (CTW)
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Management and Governance (SMG)
Research Group:
Link to this item:http://purl.utwente.nl/publications/74819
Official URL:http://dx.doi.org/10.3109/09638281003734359
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page

Metis ID: 269760