Individual finger movement decoding using a novel ultra-high-density electroencephalography-based brain-computer interface system.

ABSTRACT: Brain-Computer Interface (BCI) technology enables users to operate external devices without physical movement. Electroencephalography (EEG) based BCI systems are being actively studied due to their high temporal resolution, convenient usage, and portability. However, fewer studies have been conducted to investigate the impact of high spatial resolution of EEG on decoding precise body motions, such as finger movements, which are essential in activities of daily living. Low spatial sensor resolution, as found in common EEG systems, can be improved by omitting the conventional standard of EEG electrode distribution (the international 10-20 system) and ordinary mounting structures (e.g., flexible caps). In this study, we used newly proposed flexible electrode grids attached directly to the sca

SUBMITTER: Lee HS 

PROVIDER: S-EPMC9627315 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature