Mirror meets robot: a new way to train arm movement

NCT ID NCT07821346

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
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Expanded access (paused)
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Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

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Status unknown
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First seen Sep 15, 2026 · Last updated Sep 16, 2026 · Updated 1 time

Summary

Researchers at National Cheng-Kung University Hospital are testing a training system that combines mirror visual feedback with robotic arm guidance. The study enrolls 21 healthy adults aged 20 and older with no neurological or muscle disease. Participants perform arm movements under five conditions, including robot-mirror therapy, robot therapy alone, mirror therapy alone, and motor imagery, while researchers measure oxygenated hemoglobin in the brain. The goal is to see whether simultaneous visual and physical feedback creates stronger brain stimulation than either approach alone.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
Robot-Mirror Therapy, a behavioral training that pairs a mirror illusion with robotic arm guidance
What this could lead to
If the combined feedback approach proves feasible, it could inform rehabilitation programs that help stroke survivors regain arm movement.
What could go wrong
This small study enrolls healthy older adults, not stroke patients, so any benefit for rehabilitation remains untested. Brain-imaging measures may show changes that do not translate into real-world recovery.

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Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

21 people

The number who actually took part.

Started

Oct 2025

Finished

Apr 2026

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * 20 years old above * Able to understand in Mandarin Chinese or Taiwanese * Without past medical history of skeletal muscle or neurological disease * Dominant hand is right * Normal cognitive function to understand and follow the instructions Exclusion Criteria: * Use of medications that lower the seizure threshold or use of psychotropic medications. * Having shoulder pain, dislocation, or fracture. * Having metallic implants , skull defects, or experiencing motion sickness after prolonged usage of fNIRS. * With history of mental disorders or current use of any antipsychotic medications.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Nation Cheng Kung University

    Tainan, 701, Taiwan

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