Identification of Time-invariant EEG Signals for Brain-Co... | NCT02787200

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

NCT02787200

Sponsor

National Taiwan University Hospital

Status

Unknown status

Last Update Posted

Jun 8, 2016Estimated

Enrollment

50Estimated

Phase

Not provided

Conditions

EEG Data Analysis
Healthy Subjects

Interventions

Not provided

Countries

Taiwan

Protocol Section

Identification Module Status Module Sponsor/Collaborators Module Oversight Module Description Module Conditions Module Design Module Arms/Interventions Module Outcomes Module Eligibility Module Contacts/Locations Module References Module IPD Sharing Statement Module

Results Section

Participant Flow Module Baseline Characteristics Module Outcome Measures Module Adverse Events Module More Info Module

Annotation Section

Annotation Module

Document Section

Large Document Module

Derived Section

Miscellaneous Info Module Condition Browse Module Intervention Browse Module

Protocol Section

Identification Module

NCT ID

Results Section

No data available

No data is available for this block.

Annotation Section

No data available

No data is available for this block.

Document Section

No data available

No data is available for this block.

Derived Section

Miscellaneous Info Module

Version Holder

Status Module

Record Verification Date

Jun 2016

Overall Recruitment Status or Expanded Access Status

Unknown status

Last Known Status

Recruiting

Delayed Posting

Not provided

Why Stopped

Not provided

Expanded Access Info

Start Date

May 2016

Primary Completion Date

May 2017Estimated

Completion Date

May 2017Estimated

First Submitted Date

May 26, 2016

First Submission Date that Met QC Criteria

May 26, 2016

First Posted Date

Jun 1, 2016Estimated

Results Waived

Not provided

Results First Submitted Date

Not provided

Results First Submitted that Met QC Criteria

Not provided

Results First Posted Date

Not provided

Certification/Extension (aka Delayed Results) First Submitted Date

Not provided

Certification/Extension First Submitted that Passed QC Review

Not provided

Certification/Extension First Posted Date

Not provided

Last Update Submitted Date

Jun 6, 2016

Last Update Posted Date

Jun 8, 2016Estimated

Oversight Module

Has Data Monitoring Committee (DMC)

Is FDA Regulated Drug

Not provided

Is FDA Regulated Device

Not provided

Is Unapproved Device

Not provided

Pediatric Postmarket Surveillance of a Device Product

Not provided

Product Exported from US

Not provided

FDAAA801 Violation

Not provided

Description Module

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.

Detailed Description

Not provided

Design Module

Study Type

Observational

Number of References to an Expanded Access Study

Not provided

Expanded Access Types

Not provided

Patient Registry

Not provided

Target Follow-Up Duration

Not provided

Phases

Not provided

Interventional Study Design

Allocation

Not provided

Intervention Model

Biospecimen

No data available

No data is available for this block.

Enrollment

50Estimated

Outcomes Module

Primary Outcomes

Measure	Description	Time Frame
Time invariant components of EEG signals		One month

Secondary Outcomes

Not provided

Other Outcomes

Not provided

Eligibility Module

Eligibility Criteria

Exclusion criteria:

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
Volunteers with claustrophobia
Patients who underwent stroke and brain surgery
Patients with neuromuscular diseases

Accepts Healthy Volunteers

Yes

Sex

All

Sex/Gender Based

Not provided

Sex/Gender Description

Not provided

Minimum Age

20 Years

Maximum Age

40 Years

Standard Ages

Adult

Study Population

Healthy volunteers that understands Mandarin instructions.

Sampling Method

Non-Probability Sample

Contacts/Locations Module

Central Contacts

Name	Role	Phone	Extension	Email
Tsung-Ren Huang	Contact	886-23366-3104		trhuang@ntu.edu.tw
Meng-Huan Wu	Contact	886-3-3250462		mhjasonwu@gmail.com

Overall Officials

Name	Affiliation	Role
Tsung-Ren Huang	National Taiwan University	Principal Investigator

Locations

Facility	Status	City	State	ZIP	Country	Contacts
National Taiwan University Hospital	Recruiting	Taipei	Taipei	10002	Taiwan