AUTHOR=Ortiz Mario , Rodríguez-Ugarte Marisol , Iáñez Eduardo , Azorín José M. TITLE=Application of the Stockwell Transform to Electroencephalographic Signal Analysis during Gait Cycle JOURNAL=Frontiers in Neuroscience VOLUME=11 YEAR=2017 URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2017.00660 DOI=10.3389/fnins.2017.00660 ISSN=1662-453X ABSTRACT=

The analysis of electroencephalographic signals in frequency is usually not performed by transforms that can extract the instantaneous characteristics of the signal. However, the non-steady state nature of these low voltage electrical signals makes them suitable for this kind of analysis. In this paper a novel tool based on Stockwell transform is tested, and compared with techniques such as Hilbert-Huang transform and Fast Fourier Transform, for several healthy individuals and patients that suffer from lower limb disability. Methods are compared with the Weighted Discriminator, a recently developed comparison index. The tool developed can improve the rehabilitation process associated with lower limb exoskeletons with the help of a Brain-Machine Interface.