NCT03213561

Stable and Independent Communication Brain-computer Interfaces

Stable and Independent Non-invasive Communication Brain-computer Interfaces Based on Error-adaptive Decoding Algorithms

• Status: Terminated
• Phase: N/A
• Study type: Interventional
• Enrollment: 10 (actual)
• Sponsor: Tomislav Milekovic · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

People with locked-in syndrome cannot move their limbs or talk because of a motor impairment, but remain conscious and intellectually awake. Restoring the ability to communicate to people with locked-in syndrome will have a positive effect on their quality of life, will enable them to reintegrate into society and increase their capacity to lead productive and fulfilling lives. This study sims to develop a new assisted communication device based on a brain-computer interface, a system that allows the user to control a computer with his brain activity. The investigators will develop this brain-computer system for long-term stability and independent use by using adaptive decoders. The investigators will test the long-term stability and independence of this system with healthy volunteers, people with tetraplegia and people with locked-in syndrome over time periods of several months.

Conditions

• Healthy
• Tetraplegia
• Locked-in Syndrome

Interventions

Type	Name	Description
DEVICE	Stable and Independent Brain-computer Interfaces for Communication	The participants will perform an MRI head scan, which the investigators will use to construct 3D head models of participants. The investigators will use these modele to reconstruct the activity of brain sources from EEG signals. The participants will then take part in a series of EEG recording sessions. During the initial "calibration" sessions, the participants will react with real or attempted movements to visual cues. The investigators will use the EEG signals from these sessions to calibrate the text-entry interface used in the validation sessions that follow. During the validation sessions, the participants will control the text-entry interface to write messages using their EEG signals.

Timeline

• Start date: 2017-07-11
• Primary completion: 2019-11-22
• Completion: 2019-11-22
• First posted: 2017-07-11
• Last updated: 2020-03-30

Locations

1 site across 1 country: Switzerland