Purpose: Robotic devices for upper-limb neurorehabilitation allow an increase in intensity of practice, often relying on video game-based training strategies with limited capacity to individualise training and integrate functional training. This study shows the development of a robotic Task Specific Training (TST) protocol and evaluate the achieved dose.
Materials and methods: Mixed-method study. A 3D robotic device for the upper limb, was made available to therapists for use during neurorehabilitation sessions. A first phase allowed clinicians to define a dedicated session protocol for TST. In a second phase the protocol was applied and the achieved dose was measured.
Results: First phase (N = 5): a specific protocol, using deweighting for assessment, followed by customised passive movements and then active movement practice was developed. Second phase: the protocol was successfully applied with all participants (N = 10). Intervention duration: 4.5 ± 0.8 weeks, session frequency: 1.4 ± 0.2sessions/week, session length: 42 ± 9mins, session density: 39 ± 13%, intensity: 214 ± 84 movements/session, difficulty: dn = 0.77 ± 0.1 (normalised reaching distance) and Ɵ = 6.3 ± 23° (transverse reaching angle). Sessions' density and intensity were consistent across participants but clear differences of difficulty were observed. No changes in metrics were observed over the intervention.
Conclusions: Robotic systems can support TST with high therapy intensity by modulating the practice difficulty to participants' needs and capabilities.
Keywords: Stroke; dose; rehabilitation; robotics; therapy; upper extremity.
Few robotics devices allow for Task Specific Training (TST) of the upper-limb post stroke.Robotic TST was shown to be feasible in a clinicians supervised setting.In supervised robotic TST sessions, clinicians can modulate task difficulty while preserving similar sessions’ density and intensity to adjust to the patient impairment.Robotic TST might be used for upper-limb neurorehabilitation without compromising the training intensity.