Identification of Time-invariant EEG Signals for Brain-Computer Interface

June 6, 2016 updated by: National Taiwan University Hospital
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.

Study Overview

Status

Unknown

Study Type

Observational

Enrollment (Anticipated)

50

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Taipei, Taiwan, 10002
        • Recruiting
        • National Taiwan University Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years to 40 years (ADULT)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Healthy volunteers that understands Mandarin instructions.

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Time invariant components of EEG signals
Time Frame: One month
One month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Tsung-Ren Huang, National Taiwan University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

May 1, 2016

Primary Completion (ANTICIPATED)

May 1, 2017

Study Completion (ANTICIPATED)

May 1, 2017

Study Registration Dates

First Submitted

May 26, 2016

First Submitted That Met QC Criteria

May 26, 2016

First Posted (ESTIMATE)

June 1, 2016

Study Record Updates

Last Update Posted (ESTIMATE)

June 8, 2016

Last Update Submitted That Met QC Criteria

June 6, 2016

Last Verified

June 1, 2016

More Information

Terms related to this study

Other Study ID Numbers

  • 201604024RIND

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Healthy Subjects

Subscribe