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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. Identifier: NCT02787200
Recruitment Status : Unknown
Verified June 2016 by National Taiwan University Hospital.
Recruitment status was:  Recruiting
First Posted : June 1, 2016
Last Update Posted : June 8, 2016
Information provided by (Responsible Party):
National Taiwan University Hospital

Brief 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.

Condition or disease
EEG Data Analysis Healthy Subjects

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Study Type : Observational
Estimated Enrollment : 50 participants
Time Perspective: Cross-Sectional
Official Title: Identification of Time-invariant EEG Signals for Brain-Computer Interface
Study Start Date : May 2016
Estimated Primary Completion Date : May 2017
Estimated Study Completion Date : May 2017

Primary Outcome Measures :
  1. Time invariant components of EEG signals [ Time Frame: One month ]

Information from the National Library of Medicine

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.

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Ages Eligible for Study:   20 Years to 40 Years   (Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
Healthy volunteers that understands Mandarin instructions.

Exclusion criteria:

  1. Severe vision disorders which prevent volunteers to recognize instructions on the screen
  2. Severe psychiatric disorders
  3. Severe sleep disorders which keep volunteers awake for two hours
  4. Volunteers with claustrophobia
  5. Patients who underwent stroke and brain surgery
  6. Patients with neuromuscular diseases

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT02787200

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Contact: Tsung-Ren Huang 886-23366-3104
Contact: Meng-Huan Wu 886-3-3250462

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National Taiwan University Hospital Recruiting
Taipei, Taiwan, 10002
Contact: Tsung-Ren Huang    886-2-3366-3104   
Sponsors and Collaborators
National Taiwan University Hospital
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Principal Investigator: Tsung-Ren Huang National Taiwan University
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Responsible Party: National Taiwan University Hospital Identifier: NCT02787200    
Other Study ID Numbers: 201604024RIND
First Posted: June 1, 2016    Key Record Dates
Last Update Posted: June 8, 2016
Last Verified: June 2016
Keywords provided by National Taiwan University Hospital:
electroencephalogram (EEG),Human brain,Brain-Computer Interface