UnknownNot Applicable

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

Taiwan50 participantsStarted 2016-05

Plain-language 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.

Who can participate

Age range20 Years – 40 Years

SexALL

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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

What they're measuring

Time invariant components of EEG signals

Timeframe: One month

Trial details

NCT IDNCT02787200

SponsorNational Taiwan University Hospital

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2017-05

Contact for this trial

Tsung-Ren Huang

886-23366-3104 trhuang@ntu.edu.tw

View on ClinicalTrials.gov More EEG Data Analysis trials