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2.3. Power spectrum analysis

MH M. Hassan
LC L. Chaton
PB P. Benquet
AD A. Delval
CL C. Leroy
LP L. Plomhause
AM A.J.H. Moonen
AD A.A. Duits
AL A.F.G. Leentjens
VK V. van Kranen-Mastenbroek
LD L. Defebvre
PD P. Derambure
FW F. Wendling
KD K. Dujardin
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We used a standard Fast Fourier Transform (FFT) approach for power spectrum analysis with Welch technique and Hanning windowing function (2 s epoch and overlap of 50%). Relative power spectrum was computed for each frequency band [delta (0.5–4 Hz); theta (4–8 Hz); alpha 1 (8–10 Hz); alpha 2 (10–13 Hz); beta (13–30 Hz); gamma (30–45 Hz)], with 0.5 Hz frequency resolution.

Copyright and License information:  ©2017 The Authors
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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