![](bgb.png)
The signal-features are the first and second Auto-
Regressive coefficients, the Zero Crossing, the Num-
ber of Turns, the Wilson Amplitude and the frequency
histogram coefficients of the 225-500 Hz band (di-
vided in 5 segments).
We believe that the proposed methodology for
channel and feature selection makes a significant im-
provement with respect to the current ones. This
novel methodology may not only be appropriate for
the particular application presented in this paper (i.e.
channel and feature selection for hand gesture detec-
tion based on sEMG signals) but also in other case
scenarios, such as gene selection for classification of
phenotypes based on microarray data.
ACKNOWLEDGEMENTS
The authors would like to thank the department of Ed-
ucation of the Basque Government for their support.
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