An augmented reality system for upper-limb post-stroke motor rehabilitation: a feasibility study

Area of Science:

• Rehabilitation Medicine
• Human-Computer Interaction
• Neuroscience

Background:

• Stroke frequently results in upper-limb (UL) motor deficits, impacting patient independence.
• Traditional rehabilitation methods may have limitations in sustained patient engagement and functional recovery.
• Augmented reality (AR) presents a novel approach to enhance motor rehabilitation through immersive and interactive experiences.

Purpose of the Study:

• To assess the clinical feasibility of an augmented reality (AR) system for upper-limb (UL) motor rehabilitation in stroke patients.
• To evaluate the effectiveness of AR-based therapy in improving UL motor function and range of motion.

Main Methods:

• Two case studies were conducted involving physiotherapist-guided tasks within an AR environment.
• Upper-limb motor function was assessed using the Fugl-Meyer scale.
• Shoulder flexion and abduction range of motion were measured using computerized biophotogrammetry.

Main Results:

• The AR group showed a trend towards greater UL motor improvement compared to control groups, with a high effect size (0.86) indicating practical significance.
• Significant enhancements were observed in shoulder range of motion (flexion and abduction) and movement speed.

Conclusions:

• The AR system demonstrated feasibility and safety for UL motor rehabilitation in chronic stroke patients.
• AR-based interventions, incorporating mental practice and visual feedback, can effectively improve shoulder mobility and function.
• This technology offers a valuable adjunct to conventional stroke rehabilitation, extending therapeutic benefits beyond hospitalization.