Arm receiving Physiotherapy through the Rehabotics system

A supervised 5-week upper-limb rehabilitation program using the Rehabotics system, delivered in 3 sessions per week, with each session lasting 30 minutes. Each session combined two components: (1) task-oriented training through an augmented reality serious-games platform using markerless hand tracking with a standard RGB camera, and (2) assisted stretching of the affected finger flexor muscles using the Active Exoskeletal Aid. The AR component included grip-specific functional tasks designed to simulate activities of daily living. The exoskeletal component provided repetitive, therapist-adjustable finger stretching through servo motor-driven movement, with programmable parameters including extension speed, maximum extension angle, and return speed.

This outcome aims to explore the therapeutic potential of Rehabotics in stroke rehabilitation, demonstrating improved hand motor function through the integration of robotics and Augmented Reality games, measured by the Box and Block Test [BBT] score. The BBT consists of a wooden box divided into two compartments by a partition and includes 150 blocks. During the BBT administration, the patient is instructed to move as many blocks as possible, one by one, from one compartment to the other within 60 seconds. The higher the number of blocks moved indicate better manual dexterity.

This outcome aims to explore the therapeutic potential of Rehabotics in stroke rehabilitation, demonstrating improved hand motor function through the integration of robotics and Augmented Reality games, measured by Ashworth Scale [AS]. The AS is a key instrument for evaluating spasticity in individuals with upper extremity mobility challenges during rehabilitation. This assessment uses a scoring system from 0 to 4, where higher scores denote greater difficulty in finger movement, and lower scores indicate easier finger movement.

This outcome aims to explore the therapeutic potential of Rehabotics in stroke rehabilitation by demonstrating improvements in active finger mobility through the integration of robotics and Augmented Reality games, measured by active range of motion (AROM). In this study, AROM was assessed as Total Active Motion (TAM), which is defined as the sum of active flexion at the metacarpophalangeal, proximal interphalangeal, and distal interphalangeal joints of the finger, minus any extension deficits at these joints. Measurements were obtained using a finger goniometer, and higher TAM values indicate better active finger movement and joint mobility.