Actively Recruiting
Robotic Upper Limb Rehabilitation for Children Aged 4 to 18 with Neuromotor Disorders and Developmental Coordination Disorder Using PhiCube
Led by Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato · Updated on 2026-04-02
54
Participants Needed
6
Research Sites
4 weeks
Total Duration
AI-Summary
What this Trial Is About
Researchers are evaluating a new portable robotic system called PhiCube for upper limb rehabilitation in children aged 4 to 18 years with congenital and acquired neuromotor disorders, as well as those with Developmental Coordination Disorder DCD. The study aims to explore the feasibility and effectiveness of this device in improving upper limb function and movement planning in these populations. The primary focus is on assessing movement quality using standardized tests. The treatment involves 30 sessions over approximately 3 months, with three 45-minute sessions each week. PhiCube is a modular robotic device designed for bilateral upper limb rehabilitation. It assists or resists movements through two motorized axes and combines motor training with gaming elements tailored for pediatric patients. The devices design allows customization to individual needs and targets range of motion, accuracy, dexterity, and fluency in movement. Participants will undergo assessments before treatment two time points and after treatment immediately and one month later using measures such as the Melbourne Assessment-2 for movement quality and the Abilhand-Kids questionnaire for daily activities. Additional neuropsychological tests and questionnaires will evaluate attention, inhibition, motor sequences, and auditory feedback perception. Researchers will analyze clinical and technological data to compare the devices rehabilitative effects across different diagnostic groups. Total participation spans the treatment period plus follow-up assessments.
CONDITIONS
Brief Title
Pediatric Upper-Limb Rehabilitation With PhiCube, a Modular Bilateral End-Effector Device
Research Team
M
Matteo Malosio, PhD
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