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Multivariate outcomes in a three week bimanual self-telerehabilitation with error augmentation post-stroke

Yazan Abdel Majeed, Farnaz Abdollahi, Saria Awadalla, James L. Patton

发表年份
2015
引用次数
6

摘要

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.

关键词

TelerehabilitationPhysical medicine and rehabilitationRehabilitationStroke (engine)Physical therapyTreadmillMultivariate statisticsComputer scienceMedicineMachine learning

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