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
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: 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.
Exclusion criteria
Exclusion criteria: 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
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| EEG and fNIRS signals at 3-6 months after end of the intervention Classification accuracy | — |
Secondary
| Measure | Time frame |
|---|---|
| EEG and fNIRS signals at 3-6 months after end of the intervention Classification accuracy - Comparison of experimental sets and sessions | — |
Countries
Thailand
Contacts
The National Electronics and Computer Technology Center (NECTEC)