Trials / Unknown
UnknownNCT02787200
Identification of Time-invariant EEG Signals for Brain-Computer Interface
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 50 (estimated)
- Sponsor
- National Taiwan University Hospital · Academic / Other
- Sex
- All
- Age
- 20 Years – 40 Years
- Healthy volunteers
- Accepted
Summary
This study aims to identify various time-variant and time-invariant components of EEG signals using advanced signal processing techniques, such as machine learning. The investigators' ultimate goal is to develop universal or customised brain-computer interface that are stable across days or even years.
Conditions
Timeline
- Start date
- 2016-05-01
- Primary completion
- 2017-05-01
- Completion
- 2017-05-01
- First posted
- 2016-06-01
- Last updated
- 2016-06-08
Locations
1 site across 1 country: Taiwan
Source: ClinicalTrials.gov record NCT02787200. Inclusion in this directory is not an endorsement.