An FPGA-Embedded Brain-Computer Interface System to Support Individual Autonomy in Locked-In Individuals

An FPGA-Embedded Brain-Computer Interface System to Support Individual Autonomy in Locked-In Individuals

Brain-computer interfaces (BCI) can detect specific EEG patterns and translate them into control signals for external devices by providing people suffering from severe motor disabilities with an alternative/additional channel to communicate and interact with the outer world. Many EEG-based BCIs rely...

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Bibliographic Details
Main Authors: Arrigo Palumbo, Nicola Ielpo, Barbara Calabrese
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
embedded systems
brain-computer interface
EEG
FPGA
Online Access:https://www.mdpi.com/1424-8220/22/1/318

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