Enhancing touch sensibility by sensory retraining in a sensory discrimination task via haptic rendering.
Eduardo Villar Ortega, Efe Anil Aksöz, Karin A Buetler and 1 others
PMID 36189030WHAT IT FOUND
Healthy adults improved their ability to distinguish virtual textures after training with a robotic device.
The robot guiding the hand was more consistent than letting people explore freely. People felt more competent when the robot guided them. This is a test in healthy adults, not patients.
Key findings
01Participants significantly improved their probability of correctly identifying different textures after training in both active and passive conditions.
02The passive condition, where the robot guided the hand, showed better measurement consistency than the active condition.
03Participants reported higher perceived competence during passive exploration compared to active exploration.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTs
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What it does not show
The study was conducted only in healthy adults, so results may not apply to people with stroke or other brain injuries. Measurement consistency was poor to moderate, meaning the tool may not yet be reliable enough for clinical use. The training effect might reflect better understanding of the task rather than actual improvement in touch sensitivity. The study did not include patients, so feasibility and acceptability for the target population are unknown.
Declared interests
The research was supported by the Swiss National Science Foundation and SENACYT-IFARHU. The authors declared no commercial or financial conflicts of interest.
The easy way to misread this
Do not assume this robotic system is ready for clinical use. It was tested only in healthy adults, and the measurement consistency was not high enough for clinical assessment. The improvement in texture discrimination might be due to learning the task rather than genuine sensory recovery.