Haptic Error Modulation Outperforms Visual Error Amplification When Learning a Modified Gait Pattern.

ABSTRACT: Robotic algorithms that augment movement errors have been proposed as promising training strategies to enhance motor learning and neurorehabilitation. However, most research effort has focused on rehabilitation of upper limbs, probably because large movement errors are especially dangerous during gait training, as they might result in stumbling and falling. Furthermore, systematic large movement errors might limit the participants' motivation during training. In this study, we investigated the effect of training with novel error modulating strategies, which guarantee a safe training environment, on motivation and learning of a modified asymmetric gait pattern. Thirty healthy young participants walked in the exoskeletal robotic system Lokomat while performing a foot target-tracking task, wh

SUBMITTER: Marchal-Crespo L 

PROVIDER: S-EPMC6390202 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature