Design and Validation of a Low-Cost Mobile EEG-Based Brain–Computer Interface

Design and Validation of a Low-Cost Mobile EEG-Based Brain–Computer Interface

<i>Objective:</i> We designed and validated a wireless, low-cost, easy-to-use, mobile, dry-electrode headset for scalp electroencephalography (EEG) recordings for closed-loop brain–computer (BCI) interface and internet-of-things (IoT) applications. <i>Approach:</i> The EEG-ba...

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Bibliographic Details
Main Authors: Alexander Craik, Juan José González-España, Ayman Alamir, David Edquilang, Sarah Wong, Lianne Sánchez Rodríguez, Jeff Feng, Gerard E. Francisco, Jose L. Contreras-Vidal
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
brain–computer interfaces
electroencephalography
mobile EEG
rehabilitation
neurodiagnostics
motor intent detection
Online Access:https://www.mdpi.com/1424-8220/23/13/5930

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https://www.mdpi.com/1424-8220/23/13/5930

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