Frontiers in Human Neuroscience (Mar 2015)
Bimanual elbow robotic orthoses: preliminary investigations on an impairment force feedback rehabilitation method
Abstract
Modern rehabilitation practices have begun integrating robots, recognizing their significant role in recovery. New and alternative stroke rehabilitation treatments are essential to enhance efficacy and mitigate associated health costs. Today’s robotic interventions can play a significant role in advancing rehabilitation. In addition, robots have an inherent ability to perform tasks accurately and reliably and are typically well suited to measure and quantify performance.Most rehabilitation strategies predominantly target activation of the paretic arm. However, bimanual upper limb rehabilitation research suggests potential in enhancing functional recovery. Moreover studies suggest limb coordination and synchronization can improve treatment efficacy.In this preliminary study, we aimed to investigate and validate our user-driven bimanual system in a reduced intensity rehab practice. A Bimanual Wearable Robotic Device (BWRD) with a Master-Slave configuration for the elbow joint was developed to carry out the investigation. The BWRD incorporates position and force sensors for which respective control loops are implemented, and offers varying modes of operation ranging from passive to active training. The proposed system enables the perception of the movements, as well as the forces applied by the hemiparetic arm, with the non-hemiparetic arm. Eight participants with chronic unilateral stroke were recruited to participate in a total of three one-hour sessions per participant, delivered in a week. Participants underwent pre and post training functional assessments along with proprioceptive measures. The post assessment was performed at the end of the last training session.The protocol was designed to engage the user in an assortment of static and dynamic arm matching and opposing tasks. The training incorporates force feedback movements, force feedback positioning, and force matching tasks with same and opposite direction movements. We are able to suggest identification
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