Ignite Creation Date:
2025-12-26 @ 12:18 PM
Ignite Modification Date:
2026-02-28 @ 2:51 AM
Study NCT ID:
NCT02787200
Status:
UNKNOWN
Last Update Posted:
2016-06-08
First Post:
2016-05-26
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Identification of Time-invariant EEG Signals for Brain-Computer Interface
Sponsor:
National Taiwan University Hospital
Organization:
Study Overview
Official Title:
Identification of Time-invariant EEG Signals for Brain-Computer Interface
Status:
UNKNOWN
Status Verified Date:
2016-06
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
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:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: