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Comparison of EEG-Timed vs. Repetitive Robot Therapy for Chronic Stroke

NCT07459725 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 20

Last updated 2026-03-10

No results posted yet for this study

Summary

This clinical trial compares two types of robotic hand rehabilitation-brain wave (EEG)-timed therapy versus simple repetitive therapy-to see which is more effective for recovering hand function in patients with chronic stroke. Participants will be randomly assigned to either group and will attend sessions using a wearable robotic hand device while wearing an EEG cap. In the EEG-timed group, the robot assists hand movements when participants successfully imagine moving and create specific brain signals, whereas in the repetitive group, the robot moves the hand automatically at set intervals. Both groups will receive a matched dose of robotic training to ensure a fair comparison of how the brain and hand function respond to the therapy.

Conditions

  • Stroke
  • Chronic Stroke
  • Hemiparesis

Interventions

DEVICE

EEG-Timed Robot Operation

A wearable hand robot that activates in real-time when the patient successfully generates a specific brain signal (ERD) during movement observation and motor imagery.

DEVICE

Repetitive Robotic System

A wearable robotic hand that provides repetitive hand opening and closing movements at fixed intervals, without requiring EEG signal triggering.

Sponsors & Collaborators

  • Seoul National University Bundang Hospital

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
19 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-03-16
Primary Completion
2028-03-31
Completion
2028-12-31

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Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07459725 on ClinicalTrials.gov