Identification of Time-invariant EEG Signals for Brain-Computer Interface
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government.
Read our disclaimer for details.
ClinicalTrials.gov Identifier: NCT02787200
Recruitment Status : Unknown
Verified June 2016 by National Taiwan University Hospital. Recruitment status was: Recruiting
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.
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.
Layout table for eligibility information
Ages Eligible for Study:
20 Years to 40 Years (Adult)
Sexes Eligible for Study:
Accepts Healthy Volunteers:
Healthy volunteers that understands Mandarin instructions.
Severe vision disorders which prevent volunteers to recognize instructions on the screen
Severe psychiatric disorders
Severe sleep disorders which keep volunteers awake for two hours