Case Study of Patients Participating in a Randomised Controlled Trial of Upper-Limb Robotic Rehabilitation in Acute Stroke Services

This paper presents some findings from a randomised controlled trial in patients with upper-limb weakness in acute stroke services within the UK's National Health Service. Three patients were selected from the robot arm of the trial; one who exhibited a large increase in Fugl-Meyer score (change > 30); one who exhibited a moderate change (10 <; change <; 20) and a subject who demonstrated no change between baseline and follow-up. The results from robot assistance level and target achievement over the course of the treatment are presented for the three patients, demonstrating the system's ability to automatically alter the assistance level as patients progress

Hybrid Position and Orientation Tracking for a Passive Rehabilitation Table-Top Robot

This paper presents a real time hybrid 2D position and orientation tracking system developed for an upper limb rehabilitation robot. Designed to work on a table-top, the robot is to enable home-based upper-limb rehabilitative exercise for stroke patients. Estimates of the robot's position are computed by fusing data from two tracking systems, each utilizing a different sensor type: laser optical sensors and a webcam. Two laser optical sensors are mounted on the underside of the robot and track the relative motion of the robot with respect to the surface on which it is placed. The webcam is positioned directly above the workspace, mounted on a fixed stand, and tracks the robot's position with respect to a fixed coordinate system. The optical sensors sample the position data at a higher frequency than the webcam, and a position and orientation fusion scheme is proposed to fuse the data from the two tracking systems. The proposed fusion scheme is validated through an experimental set-up whereby the rehabilitation robot is moved by a humanoid robotic arm replicating previously recorded movements of a stroke patient. The results prove that the presented hybrid position tracking system can track the position and orientation with greater accuracy than the webcam or optical sensors alone. The results also confirm that the developed system is capable of tracking recovery trends during rehabilitation therapy