Exoskeleton Robot Controls using Brain Signals
- Conditions
- Multimodal motor intention analysis using EEG and fNIRS signals is a concept for controlling exoskeleton robots in standing, sitting, and knee-bending positions, which can be controlled instantly (online) and with sufficient precision in the most intuitive way as much as possible, is extremely attractive and challenging.Brain-Machine Interface (BMI), Brain-Computer Interface (BCI), Functional near-infrared spectroscopy (fNIRS), Robot, Exoskeleton
- Registration Number
- TCTR20240512003
- Lead Sponsor
- The National Science and Technology Development Agency (NSTDA)
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 30
1. Healthy volunteers aged between 20 and 60.
2. Can stand up and walk on his own.
3. No symptoms of weakness or numbness in the lower limbs.
4. Can follow instructions in at least 2 steps.
5. Sit balanced by leaning on the back of a chair for at least 60 minutes.
6. Consent to participate in the experiment.
1. Have a history of disease that causes leg weakness, such as stroke. Nerve root herniation, etc., without recovery/healing to normal
2. Have adhesions in the knees and hips
3. Have communication or intellectual problems such that they cannot follow or cooperate in the test.
4. Knee pain has a Verbal rating scale of 4/10 or higher in the tested leg.
5. Visibility after editing The test display screen cannot be clearly seen at a distance of 1 meter.
6. Have a history of allergic reaction to gel/hair loss
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method EEG and fNIRS signals at 3-6 months after end of the intervention Classification accuracy
- Secondary Outcome Measures
Name Time Method EEG and fNIRS signals at 3-6 months after end of the intervention Classification accuracy - Comparison of experimental sets and sessions