Zhu, Ziyue;
Cho, Youngjun;
Carlson, Tom;
(2024)
A Hybrid Brain-computer Interface Protocol for Combined Speech and Motor Imagery.
Presented at: BioMedEng24, London, UK.
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Abstract
People with severe neurologica disorders, such as Amyotrophic Lateral Sclerosis (ALS) may lose crucial functions like movement and speech. Brain computer interfaces (BCIs) can enable users to control external devices to restore communication and/or control. This study focuses on speech decoding based on electroencephalography (EEG) and proposed a hybrid BCI protocol combining both motor imagery and speech imagery (SI) for next generation intuitive and flexible BCI applications.
| Type: | Poster |
|---|---|
| Title: | A Hybrid Brain-computer Interface Protocol for Combined Speech and Motor Imagery |
| Event: | BioMedEng24 |
| Location: | London, UK |
| Dates: | 05 - 06 September 2024 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://biomedeng.org/biomedeng24/ |
| Language: | English |
| Keywords: | Brain-computer interfaces, Neurotechnology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10198181 |
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