EEG-based Brain-Computer Interface Using Subject-Specific Spatial Filters

G. Pfurtscheller,C. Guger,H. Ramoser

Lecture Notes in Computer Science（2006）

University of Technology

被引用23|浏览16

摘要

Sensorimotor EEG rhythms are affected by motor imagery and can, therefore, be used as input signals for an EEG-based brain-computer interface (BCI). Satisfactory classification rates of imagery-related EEG patterns can be activated when multiple EEG recordings and the method of common spatial patterns is used for parameter estimation. Data from 3 BCI experiments with and without feedback are reported.

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关键词

Brain-Computer Interface (BCI),single-trial EEG classification,common spatial filter,motor imagery,event-related desynchronization