Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a...

Area of Science:

• Rehabilitation Engineering
• Neurorehabilitation
• Human-Robot Interaction

Background:

• Robot-mediated therapy for upper-extremity post-stroke has existed since the 1990s.
• Robotic interventions show clear benefits for motor scores and strength but often fail to translate to daily living activities.
• Understanding the reasons for this transfer gap is crucial for improving rehabilitation outcomes.

Purpose of the Study:

• To systematically review existing literature on robot-mediated post-stroke upper-extremity therapy.
• To analyze the influence of recovery stage, limb segment trained, and interaction modalities on therapeutic effectiveness.
• To identify gaps in reporting on human-robot interaction (HRI) mechanisms and propose a categorization framework.

Main Methods:

• Systematic review of 74 papers on robot-mediated upper-extremity post-stroke therapy.
• Analysis focused on targeted recovery stage, limb part trained, and interaction modalities (active, active-assisted, passive).
• Evaluation of reported effectiveness and examination of HRI mechanisms described in the literature.

Main Results:

• Most studies focus on proximal arm training for chronic stroke patients.
• Robot therapy in active-assisted mode demonstrated consistent improvements in arm function.
• Specific HRI features, like EMG-modulated forces and spring-damper guidance, showed potential benefits.

Conclusions:

• Active-assisted robot therapy, especially with features promoting patient engagement, is effective for arm function.
• Current literature often lacks detailed descriptions of HRI mechanisms, hindering comparative analysis.
• A standardized framework for categorizing HRI modalities is proposed to enable better comparison and advancement of robotic rehabilitation.