Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b
نویسندگان
چکیده
منابع مشابه
Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b
The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the subject-specific frequency band. This paper presents the Filter Bank Common Spatial Pattern (FBCSP) algorithm to optimize the subject-specific frequency band for CSP on Datasets 2a and 2b of the Brain-Computer I...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2012
ISSN: 1662-4548
DOI: 10.3389/fnins.2012.00039