Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System

Table 2

Letter accuracy for the time-window selection algorithms (SEWS) when using denoising algorithms (METS), over 22 subjects of the UAM dataset. Descriptive statistics for all the subjects on letter accuracy are reported (mean and standard deviation).

Preprocessing	Average	SD
[0.1–20] Hz filter	53.60	14.14
METS	55.20	13.19
METS & SEWS-1	56.00	13.64
METS & SEWS-2	55.91	14.13

The best results are highlighted in bold.