Mitigating Trunk Compensatory Movements in Post-Stroke Survivors through Visual Feedback during Robotic-Assisted Arm...

Area of Science:

• Neurorehabilitation
• Human-Computer Interaction
• Biomechanics

Background:

• Trunk compensatory movements are common in stroke survivors during upper limb rehabilitation, potentially hindering functional recovery.
• These aberrant movements can impede progress in robotic-assisted therapy, necessitating effective intervention strategies.

Purpose of the Study:

• To evaluate the efficacy of visual feedback using an RGB-D camera in reducing trunk compensation during reaching tasks.
• To investigate the impact of different visual feedback synchronization ratios on trunk movement and task performance.

Main Methods:

• 17 able-bodied individuals and 18 stroke survivors performed reaching tasks under unrestricted and visual feedback conditions.
• Visual feedback involved synchronizing the target's movement with the participant's trunk motion at 1:1, 1:2, and 1:3 ratios.
• Trunk compensatory movements, task completion time, and perceived exertion were measured.

Main Results:

• Trunk compensatory movements were significantly reduced when the visual target moved at the same speed (1:1) and double the speed (1:2) of trunk motion.
• Stroke survivors experienced increased task completion time and perceived exertion under these feedback conditions.
• The results suggest visual feedback increases task difficulty, discouraging unnecessary trunk motion.

Conclusions:

• Customized visual feedback is effective in correcting aberrant upper limb movements in stroke survivors.
• Integrating visual feedback into robotic-assisted rehabilitation can enhance recovery by minimizing compensatory motions.
• This approach holds potential for advancing rehabilitation strategies and improving functional outcomes for post-stroke individuals.