| Literature DB >> 26736537 |
Yazan Abdel Majeed, Farnaz Abdollahi, Saria Awadalla, James Patton.
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.Entities:
Mesh:
Year: 2015 PMID: 26736537 PMCID: PMC8682913 DOI: 10.1109/EMBC.2015.7318637
Source DB: PubMed Journal: Annu Int Conf IEEE Eng Med Biol Soc ISSN: 2375-7477