DocumentCode :
3684207
Title :
Multivariate outcomes in a three week bimanual self-telerehabilitation with error augmentation post-stroke
Author :
Yazan Abdel Majeed;Farnaz Abdollahi;Saria Awadalla;James Patton
Author_Institution :
University of Illinois at Chicago Bioengineering and the Rehabilitation Institute of Chicago, United States
fYear :
2015
Firstpage :
1425
Lastpage :
1431
Abstract :
We present the outcomes of a study on stroke patients in a 3-week intervention of bimanual self-telerehabilitation. This training is similar to an upper-extremity treadmill in that patients can make use of their healthy arm to provide a cue for the more impaired arm. We further inspected a cohort that covertly received error augmentation training while they practiced. Finally, we focused here on the many quantitative measures available from the robotic device, testing if these measures collectively can predict outcome on the final day. We found in a cross-validation study that predictions are possible, yielding median r-squared values over 99%. Several particular measures were found to dominate their contribution to the prediction of recoverability. These results show that interactive self-rehabilitation may be a viable method for motor restoration, and the quantitative metrics available can be used to predict the eventual state of recovery.
Keywords :
"Training","Wrist","Measurement","Robot sensing systems","Standards"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7318637
Filename :
7318637
Link To Document :
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